-
1
-
-
84903647885
-
Computer-aided detection (CAD) of breast masses in mammography: Combined detection and ensemble classification
-
J. Y. Choi, D. H. Kim, K. N. Plataniotis, and Y. M. Ro, Computer-aided detection (CAD) of breast masses in mammography: Combined detection and ensemble classification, Phys. Med. Biol. 59, 3697 (2014).
-
(2014)
Phys. Med. Biol.
, vol.59
, pp. 3697
-
-
Choi, J.Y.1
Kim, D.H.2
Plataniotis, K.N.3
Ro, Y.M.4
-
2
-
-
75749149659
-
A review of automatic mass detection and segmentation in mammographic images
-
A. Oliver, J. Freixenet, J. Marti, E. Perez, J. Pont, E. R. E. Denton, and R. Z. wiggelaar, A review of automatic mass detection and segmentation in mammographic images, Medical Image Analysis 14, 87 (2010).
-
(2010)
Medical Image Analysis
, vol.14
, pp. 87
-
-
Oliver, A.1
Freixenet, J.2
Marti, J.3
Perez, E.4
Pont, J.5
Denton, E.R.E.6
Wiggelaar, R.Z.7
-
3
-
-
84878012105
-
An improved data mining technique for classification and detection of breast cancer from mammograms
-
A. K. Mohanty, M. R. Senapati, and S. K. Lenka, An improved data mining technique for classification and detection of breast cancer from mammograms, Neural Comput. and Applic. 22, 303 (2013).
-
(2013)
Neural Comput. and Applic.
, vol.22
, pp. 303
-
-
Mohanty, A.K.1
Senapati, M.R.2
Lenka, S.K.3
-
4
-
-
81555214178
-
Texture-based analysis of clustered microcalcifications detected on mammograms
-
A. Tiedeu, C. Daul, A. Kentsop, P. Graebling, and D. Wolf, Texture-based analysis of clustered microcalcifications detected on mammograms, Digital Signal Processing 22, 124 (2012).
-
(2012)
Digital Signal Processing
, vol.22
, pp. 124
-
-
Tiedeu, A.1
Daul, C.2
Kentsop, A.3
Graebling, P.4
Wolf, D.5
-
5
-
-
84878341877
-
Data mining techniques for breast cancer detection in thermograms using hybrid feature extraction strategy
-
M. R. K. Mookiah, U. R. Acharya, and E. Y. K. Ng, Data mining techniques for breast cancer detection in thermograms using hybrid feature extraction strategy, Quantitative Infrared Thermography Journal 9, 151 (2012).
-
(2012)
Quantitative Infrared Thermography Journal
, vol.9
, pp. 151
-
-
Mookiah, M.R.K.1
Acharya, U.R.2
Ng, E.Y.K.3
-
6
-
-
84904014206
-
Application of infrared thermography in computer aided diagnosis
-
O. Faust, U. R. Acharya, and E. Y. K. Ng, Application of infrared thermography in computer aided diagnosis, Infrared Physics and Technology 66, 160 (2014).
-
(2014)
Infrared Physics and Technology
, vol.66
, pp. 160
-
-
Faust, O.1
Acharya, U.R.2
Ng, E.Y.K.3
-
7
-
-
84876727324
-
Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound:A review
-
A. Jalalian, S. B. Mashohor, H. R. Mahmud, M. I. B. Saripan, A. R. B. Ramli, and B. Karasfi, Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound:A review, Clinical Imaging 37, 420 (2013).
-
(2013)
Clinical Imaging
, vol.37
, pp. 420
-
-
Jalalian, A.1
Mashohor, S.B.2
Mahmud, H.R.3
Saripan, M.I.B.4
Ramli, A.R.B.5
Karasfi, B.6
-
8
-
-
77957808058
-
Breast cancer image classification based on a complex event processing machine
-
C. D. Velandia-Brinez, S. Don, N.-Y. Cho, E. Choi, and D. Min, Breast cancer image classification based on a complex event processing machine, 4th International Conference on New Trends in Information Science and Service Science, (2010), pp. 60-64
-
(2010)
4th International Conference on New Trends in Information Science and Service Science
, pp. 60-64
-
-
Velandia-Brinez, C.D.1
Don, S.2
Cho, N.-Y.3
Choi, E.4
Min, D.5
-
10
-
-
78651532026
-
A new ensemble learning approach for microcalcification clusters detection
-
X. Zhang, A new ensemble learning approach for microcalcification clusters detection. J. Software 4, 1014 (2009).
-
(2009)
J. Software
, vol.4
, pp. 1014
-
-
Zhang, X.1
-
11
-
-
59249098260
-
Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis
-
L. Wei, Y. Yang, and R. M. Nishikawa, Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. Pattern Recognition 42, 1126 (2009).
-
(2009)
Pattern Recognition
, vol.42
, pp. 1126
-
-
Wei, L.1
Yang, Y.2
Nishikawa, R.M.3
-
12
-
-
39449084958
-
A novel breast tissue density classification methodology
-
A. Oliver, J. Freixenet, R. Marti, J. Pont, E. Perez, E. R. E. Denton, and R. Zwiggelaar, A novel breast tissue density classification methodology. IEEE Trans. Inf. Technol. Biomed. 12, 55 (2008).
-
(2008)
IEEE Trans. Inf. Technol. Biomed.
, vol.12
, pp. 55
-
-
Oliver, A.1
Freixenet, J.2
Marti, R.3
Pont, J.4
Perez, E.5
Denton, E.R.E.6
Zwiggelaar, R.7
-
13
-
-
77957863673
-
A statistical approach for breast density segmentation
-
A. Oliver, X. Llado, E. Perez, J. Pont, E. R. E. Denton, J. Freixenet, and J. Marti, A statistical approach for breast density segmentation. J. Digital Imaging 23, 527 (2010).
-
(2010)
J. Digital Imaging
, vol.23
, pp. 527
-
-
Oliver, A.1
Llado, X.2
Perez, E.3
Pont, J.4
Denton, E.R.E.5
Freixenet, J.6
Marti, J.7
-
14
-
-
40149106550
-
Randon-domain detection of the nipple and the pectoral muscle in mammograms
-
S. K. Kinoshita, P. M. Azevedo-Marques, R. R. Pereira, J. A. H. Rodrigues, and R. M. Rangayyan, Randon-domain detection of the nipple and the pectoral muscle in mammograms. J. Digital Imaging 21, 37 (2008).
-
(2008)
J. Digital Imaging
, vol.21
, pp. 37
-
-
Kinoshita, S.K.1
Azevedo-Marques, P.M.2
Pereira, R.R.3
Rodrigues, J.A.H.4
Rangayyan, R.M.5
-
15
-
-
84875229934
-
Pectoral muscle segmentation: A review
-
K. Ganesan, U. R. Acharya, K. C. Chua, L. C. Min, and K. T. Abraham, Pectoral muscle segmentation: A review, Computer Methods and Programs in Biomedicine 110, 48 (2013).
-
(2013)
Computer Methods and Programs in Biomedicine
, vol.110
, pp. 48
-
-
Ganesan, K.1
Acharya, U.R.2
Chua, K.C.3
Min, L.C.4
Abraham, K.T.5
-
16
-
-
78650597051
-
Identification of masses in digital mammogram using gray level co-occurrence matrices
-
A. M. Khuzi, R. Besar, W. M. D. Wan Zaki, and N. N. Ahmad, Identification of masses in digital mammogram using gray level co-occurrence matrices. Biomedical Imaging and Intervention Journal 5, e17 (2009).
-
(2009)
Biomedical Imaging and Intervention Journal
, vol.5
, pp. e17
-
-
Khuzi, A.M.1
Besar, R.2
Wan Zaki, W.M.D.3
Ahmad, N.N.4
-
17
-
-
19344363582
-
Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines
-
A. Papadopoulos, D. I. Fotiadis, and A. Likas, Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. Artificial Intelligence in Medicine 34, 141 (2005).
-
(2005)
Artificial Intelligence in Medicine
, vol.34
, pp. 141
-
-
Papadopoulos, A.1
Fotiadis, D.I.2
Likas, A.3
-
20
-
-
83755204867
-
Soft computing based decision making approach for tumor mass identification in mammogram
-
M. Bhattacharya and A. Das, Soft computing based decision making approach for tumor mass identification in mammogram. International J. Bioinformatics Research 1, 37 (2009).
-
(2009)
International J. Bioinformatics Research
, vol.1
, pp. 37
-
-
Bhattacharya, M.1
Das, A.2
-
21
-
-
33745908301
-
BI-RADS classification for management of abnormal mammograms
-
M. M. Eberl, C. H. Fox, S. B. Edge, C. A. Carter, and M. C. Maboney, BI-RADS classification for management of abnormal mammograms. J. Am. Board Fam. Med. 19, 161 (2006).
-
(2006)
J. Am. Board Fam. Med.
, vol.19
, pp. 161
-
-
Eberl, M.M.1
Fox, C.H.2
Edge, S.B.3
Carter, C.A.4
Maboney, M.C.5
-
22
-
-
0025296795
-
Automatic computer detection of clustered calcifications in digital mammograms
-
D. H. Davies and D. R. Dance, Automatic computer detection of clustered calcifications in digital mammograms. Phys. Med. Biol. 35, 1111 (1990).
-
(1990)
Phys. Med. Biol.
, vol.35
, pp. 1111
-
-
Davies, D.H.1
Dance, D.R.2
-
23
-
-
0030996609
-
Computerized classification of malignant and benign microcalcifications on mammograms: Texture analysis using an artificial neural network
-
H. P. Chan, B. Sahiner, N. Petrick, M. A. Helvie, K. L. Lam, D. Adler, and M. Goodsitt, Computerized classification of malignant and benign microcalcifications on mammograms: Texture analysis using an artificial neural network. Phys. Med. Biol. 42, 549 (1997).
-
(1997)
Phys. Med. Biol.
, vol.42
, pp. 549
-
-
Chan, H.P.1
Sahiner, B.2
Petrick, N.3
Helvie, M.A.4
Lam, K.L.5
Adler, D.6
Goodsitt, M.7
-
24
-
-
80054732949
-
A comparative study of image features for classification of breast microcalcifications
-
I. I. Andreadis, G. M. Spyrou, and K. S. Nikita, A comparative study of image features for classification of breast microcalcifications. Meas. Sci. Technol. 22, 1 (2011).
-
(2011)
Meas. Sci. Technol.
, vol.22
, pp. 1
-
-
Andreadis, I.I.1
Spyrou, G.M.2
Nikita, K.S.3
-
25
-
-
4544361200
-
Comparison of multiwavelet, wavelet, Haralick and shape features for microcalcification classification in mammograms
-
H. Soltanian-Zadeh, F. Rafiee-Rad, and S. Pourabdollah-Nejad, Comparison of multiwavelet, wavelet, Haralick and shape features for microcalcification classification in mammograms. Pattern Recognition 37, 1973 (2004).
-
(2004)
Pattern Recognition
, vol.37
, pp. 1973
-
-
Soltanian-Zadeh, H.1
Rafiee-Rad, F.2
Pourabdollah-Nejad, S.3
-
26
-
-
0002734346
-
The digital database for screening mammography
-
M. Heath, K. Bowyer, D. Kopans, R. Moore, and P. Kegelmeyer, The digital database for screening mammography, Proceedings of the International Workshop on Digital Mammography 212 (2000).
-
(2000)
Proceedings of the International Workshop on Digital Mammography
, vol.212
-
-
Heath, M.1
Bowyer, K.2
Kopans, D.3
Moore, R.4
Kegelmeyer, P.5
-
27
-
-
71249094411
-
Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer
-
B. Verma, P. McLeod, and A. Klevansky, Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer. Expert Systems with Applications 37, 3344 (2010).
-
(2010)
Expert Systems with Applications
, vol.37
, pp. 3344
-
-
Verma, B.1
McLeod, P.2
Klevansky, A.3
-
28
-
-
77951125531
-
Using BI-RADS descriptors and ensemble learning for classifying masses in mammograms
-
MCBR-CDS 2009
-
Y. Zhang, N. Tomuro, J. Furst, and D. S. Raicu, Using BI-RADS descriptors and ensemble learning for classifying masses in mammograms. MCBR-CDS 2009, LNCS 5853, 69 (2010).
-
(2010)
LNCS
, vol.5853
, pp. 69
-
-
Zhang, Y.1
Tomuro, N.2
Furst, J.3
Raicu, D.S.4
-
29
-
-
0033713584
-
Identification of masses in digital mammograms with MLP and RBF nets
-
K. Bovis and S. Singh, Identification of masses in digital mammograms with MLP and RBF nets, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy (2000), pp. 342-347
-
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy (2000)
, pp. 342-347
-
-
Bovis, K.1
Singh, S.2
-
30
-
-
0034267949
-
Image processing algorithms for digital mammography: A pictorial essay
-
E. D. Pisano, Image processing algorithms for digital mammography: A pictorial essay. Radiographics 20, 1479 (2000).
-
(2000)
Radiographics
, vol.20
, pp. 1479
-
-
Pisano, E.D.1
-
31
-
-
0034131449
-
Comparing the performance of mammographic enhancement algorithms: A preference study
-
R. Sivaramakrishna, N. A. Obuchowski, W. A. Chilcote, G. Cardenosa, and K. A. Powell, Comparing the performance of mammographic enhancement algorithms: A preference study. American J. Roentgenology 175, 45 (2000).
-
(2000)
American J. Roentgenology
, vol.175
, pp. 45
-
-
Sivaramakrishna, R.1
Obuchowski, N.A.2
Chilcote, W.A.3
Cardenosa, G.4
Powell, K.A.5
-
33
-
-
0035544613
-
Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its effects on characterization
-
B. Sahiner, N. Petrick, H.-P. Chan, L. M. Hadjiiski, C. Paramagul, M. A. Helvie, and M. A. Gurcan, Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its effects on characterization. IEEE Transactions on Medical Imaging 20, 1275 (2001).
-
(2001)
IEEE Transactions on Medical Imaging
, vol.20
, pp. 1275
-
-
Sahiner, B.1
Petrick, N.2
Chan, H.-P.3
Hadjiiski, L.M.4
Paramagul, C.5
Helvie, M.A.6
Gurcan, M.A.7
-
34
-
-
0034830244
-
Improving the detection of simulated masses in mammograms through two different image-processing techniques
-
B. M. Hemminger, S. Zong, K. E. Muller, C. S. Coffey, M. C. DeLuca, R. E. Johnston, and E. D. Pisano, Improving the detection of simulated masses in mammograms through two different image-processing techniques. Acad. Radiol. 8, 845 (2001).
-
(2001)
Acad. Radiol.
, vol.8
, pp. 845
-
-
Hemminger, B.M.1
Zong, S.2
Muller, K.E.3
Coffey, C.S.4
DeLuca, M.C.5
Johnston, R.E.6
Pisano, E.D.7
-
35
-
-
77954642214
-
Classification of breast tumors on digital mammogram using Law's texture features
-
MICCAI 2001
-
C. Varela, N. Karssemeijer, and P. G. Tahoces, Classification of breast tumors on digital mammogram using Law's texture features. MICCAI 2001, LNCS 2208, 1391 (2001).
-
(2001)
LNCS
, vol.2208
, pp. 1391
-
-
Varela, C.1
Karssemeijer, N.2
Tahoces, P.G.3
-
36
-
-
0036768026
-
Computer aided diagnosis of breast cancer in digitized mammograms
-
I. Christoyianni, A. Koutras, E. Dermatas, and G. Kokkinakis, Computer aided diagnosis of breast cancer in digitized mammograms. Comput. Med. Imag. Graphics 26, 309 (2002).
-
(2002)
Comput. Med. Imag. Graphics
, vol.26
, pp. 309
-
-
Christoyianni, I.1
Koutras, A.2
Dermatas, E.3
Kokkinakis, G.4
-
37
-
-
17344393687
-
A segmentation technique to detect masses in dense breast digitized mammograms
-
V. T. Santos, H. Schiabel, C. E. Goes, and R. H. Benatti, A segmentation technique to detect masses in dense breast digitized mammograms. J. Digital Imaging 51, 210 (2002).
-
(2002)
J. Digital Imaging
, vol.51
, pp. 210
-
-
Santos, V.T.1
Schiabel, H.2
Goes, C.E.3
Benatti, R.H.4
-
38
-
-
0037291502
-
Self-organizing map for cluster analysis of a breast cancer database
-
M. K. Markey, J. Y. Lo, G. D. Tourassi, and C. E. Floyd, Self-organizing map for cluster analysis of a breast cancer database. Artificial Intelligence in Medicine 27, 113 (2003).
-
(2003)
Artificial Intelligence in Medicine
, vol.27
, pp. 113
-
-
Markey, M.K.1
Lo, J.Y.2
Tourassi, G.D.3
Floyd, C.E.4
-
39
-
-
84931026765
-
Early detection of masses in digitized mammograms using texture and neuro-fuzzy model
-
N. Youssry, F. E. Z. Abou-Chadi, and A. M. EI-Sayad, Early detection of masses in digitized mammograms using texture and neuro-fuzzy model, Proceedings of the Twentieth National Radio Science Conference, Cairo, Egypt (2003), pp. 1-9.
-
Proceedings of the Twentieth National Radio Science Conference, Cairo, Egypt (2003)
, pp. 1-9
-
-
Youssry, N.1
Abou-Chadi, F.E.Z.2
Ei-Sayad, A.M.3
-
40
-
-
1642528342
-
A novel featureless approach to mass detection in digital mammograms based on support vector machines
-
R. Campanini, D. Dongiovanni, E. Iampieri, N. Lanconelli, M. Masotti, G. Palermo, A. Riccardi, and M. Roffilli, A novel featureless approach to mass detection in digital mammograms based on support vector machines. Phys. Med. Biol. 49, 961 (2004).
-
(2004)
Phys. Med. Biol.
, vol.49
, pp. 961
-
-
Campanini, R.1
Dongiovanni, D.2
Iampieri, E.3
Lanconelli, N.4
Masotti, M.5
Palermo, G.6
Riccardi, A.7
Roffilli, M.8
-
41
-
-
2142711004
-
Mass lesion detection with a fuzzy neural network
-
H. D. Cheng and M. Cui, Mass lesion detection with a fuzzy neural network. Pattern Recognition 37, 1189 (2004).
-
(2004)
Pattern Recognition
, vol.37
, pp. 1189
-
-
Cheng, H.D.1
Cui, M.2
-
42
-
-
2442666562
-
A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography
-
S. Timp and N. Karssemeijer, A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography. Med. Phys. 31, 958 (2004).
-
(2004)
Med. Phys.
, vol.31
, pp. 958
-
-
Timp, S.1
Karssemeijer, N.2
-
43
-
-
1842664403
-
Ipsilateral-mammogram computer-aided detection of breast cancer
-
X. Sun, W. Qian, and D. Song, Ipsilateral-mammogram computer-aided detection of breast cancer. Comput. Med. Imag. and Graphics 28, 151 (2004).
-
(2004)
Comput. Med. Imag. and Graphics
, vol.28
, pp. 151
-
-
Sun, X.1
Qian, W.2
Song, D.3
-
46
-
-
17844381877
-
Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural
-
R. Mousa, Q. Munib, and A. Moussa, Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural. Expert Systems with Applications 28, 713 (2005).
-
(2005)
Expert Systems with Applications
, vol.28
, pp. 713
-
-
Mousa, R.1
Munib, Q.2
Moussa, A.3
-
47
-
-
29144535308
-
A computer-aided system for mass detection and classification in digitized mammograms
-
S.-C. Yang, C.-M. Wang, Y.-N. Chung, G.-C. Hsu S.-K. Lee, P.-C. Chung, and C. I. Chang, A computer-aided system for mass detection and classification in digitized mammograms. Biomed Eng. App. Basis comm. 17, 215 (2005).
-
(2005)
Biomed Eng. App. Basis Comm.
, vol.17
, pp. 215
-
-
Yang, S.-C.1
Wang, C.-M.2
Chung, Y.-N.3
Hsu, G.-C.4
Lee, S.-K.5
Chung, P.-C.6
Chang, C.I.7
-
48
-
-
33746659809
-
A completely automated CAD system for mass detection in a large mammographic database
-
R. Bellotti, A completely automated CAD system for mass detection in a large mammographic database. Med. Phy. 33, 3066 (2006).
-
(2006)
Med. Phy.
, vol.33
, pp. 3066
-
-
Bellotti, R.1
-
49
-
-
33750545794
-
Dual system approach to computer-aided detection of breast masses on mammograms
-
J. Wei, H.-P. Chan, B. Sahiner, L. M. Hadjiiski, M. A. Helvie, M. A. Roubidoux, C. Zhou, and J. Ge, Dual system approach to computer-aided detection of breast masses on mammograms. Med. Phys. 33, 4157 (2006).
-
(2006)
Med. Phys.
, vol.33
, pp. 4157
-
-
Wei, J.1
Chan, H.-P.2
Sahiner, B.3
Hadjiiski, L.M.4
Helvie, M.A.5
Roubidoux, M.A.6
Zhou, C.7
Ge, J.8
-
50
-
-
32044457119
-
Approaches for automated detection and classification of masses in mammograms
-
H. D. Cheng, X. J. Shi, R. Min, L. M. Hu, X. P. Cai, and H. N. Du, Approaches for automated detection and classification of masses in mammograms. Pattern Recognition 39, 646 (2006).
-
(2006)
Pattern Recognition
, vol.39
, pp. 646
-
-
Cheng, H.D.1
Shi, X.J.2
Min, R.3
Hu, L.M.4
Cai, X.P.5
Du, H.N.6
-
51
-
-
33749375744
-
A ranklet-based image representation for mass classification in digital mammograms
-
M. Masotti, A ranklet-based image representation for mass classification in digital mammograms. Med. Phys. 33, 3951 (2006).
-
(2006)
Med. Phys.
, vol.33
, pp. 3951
-
-
Masotti, M.1
-
52
-
-
33744535368
-
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers
-
M. E. Mavroforakis, H. V. Georgiou, N. Dimitropoulos, D. Cavouras, and S. Theodoridis, Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. Artificial Intelligence in Medicine 37, 145 (2006).
-
(2006)
Artificial Intelligence in Medicine
, vol.37
, pp. 145
-
-
Mavroforakis, M.E.1
Georgiou, H.V.2
Dimitropoulos, N.3
Cavouras, D.4
Theodoridis, S.5
-
53
-
-
28744432535
-
Interval change analysis to improve computer aided detection in mammography
-
S. Timp and N. Karssemeijer, Interval change analysis to improve computer aided detection in mammography. Medical Image Analysis 10, 82 (2006).
-
(2006)
Medical Image Analysis
, vol.10
, pp. 82
-
-
Timp, S.1
Karssemeijer, N.2
-
54
-
-
33750420263
-
Mammogram segmentation by contour searching and mass lesions classification with neural network
-
D. F. Cascio, R. Fauci, G. Magro, R. Raso, F. Bellotti, S. DeCarlo, G. Tangaro, M. De Nunzio, M. E. Quarta, A. Forni, G. L. Lauria, P. Fantacci, S. Retico, S. C. Masala, G. Oliva, A. Bagnasco, A. Cheran, and E. Lopez Torres, Mammogram segmentation by contour searching and mass lesions classification with neural network. IEEE Trans. Nuc. Sci. 53, 2827 (2006).
-
(2006)
IEEE Trans. Nuc. Sci.
, vol.53
, pp. 2827
-
-
Cascio, D.F.1
Fauci, R.2
Magro, G.3
Raso, R.4
Bellotti, F.5
DeCarlo, S.6
Tangaro, G.7
De Nunzio, M.8
Quarta, M.E.9
Forni, A.10
Lauria, G.L.11
Fantacci, P.12
Retico, S.13
Masala, S.C.14
Oliva, G.15
Bagnasco, A.16
Cheran, A.17
Lopez Torres, E.18
-
55
-
-
34547591212
-
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier
-
P. Delogu, M. E. Fantacci, P. Kasae, and A. Retico, Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier. Computers in and Biology and Medicine 37, 1479 (2007).
-
(2007)
Computers in and Biology and Medicine
, vol.37
, pp. 1479
-
-
Delogu, P.1
Fantacci, M.E.2
Kasae, P.3
Retico, A.4
-
56
-
-
37249035594
-
Classification of breast masses in mammogram images using Ripley's K function and support vector machine
-
MLDM 2007
-
L. Martins, G. B. Junior, A. C. Silva, A. C. Paiva, and M. Gattass, Classification of breast masses in mammogram images using Ripley's K function and support vector machine. MLDM 2007,LNAI 4571, 784 (2007).
-
(2007)
LNAI
, vol.4571
, pp. 784
-
-
Martins, L.1
Junior, G.B.2
Silva, A.C.3
Paiva, A.C.4
Gattass, M.5
-
58
-
-
37849017515
-
Contourlet-based mammography mass classification
-
ICIAR 2007
-
F. Moayedi, Z. Azimifar, R. Boostani, and S. Katebi, Contourlet-based mammography mass classification. ICIAR 2007,LNCS 4633, 923 (2007).
-
(2007)
LNCS
, vol.4633
, pp. 923
-
-
Moayedi, F.1
Azimifar, Z.2
Boostani, R.3
Katebi, S.4
-
59
-
-
47649112731
-
A support vector based fuzzy neural network approach for mass classification in mammography
-
F. Moayedi, R. Boostani, Z. Azimifar, and S. Katebi, A support vector based fuzzy neural network approach for mass classification in mammography. International Conference on Digital Signal Processing Cardiff, Wales, UK (2007), pp. 240-243.
-
International Conference on Digital Signal Processing Cardiff, Wales, UK (2007)
, pp. 240-243
-
-
Moayedi, F.1
Boostani, R.2
Azimifar, Z.3
Katebi, S.4
-
60
-
-
35248866593
-
Classification of mammographic masses using support vector machines and Bayesian networks
-
M. Samulski, N. Karssemeijer, P. Lucasand, and P. Groot, Classification of mammographic masses using support vector machines and Bayesian networks, Proceeding of SPIE (2007), p. 6514.
-
Proceeding of SPIE (2007)
, pp. 6514
-
-
Samulski, M.1
Karssemeijer, N.2
Lucasand, P.3
Groot, P.4
-
61
-
-
33845480542
-
Computerized detection of breast masses in digitized mammograms
-
C. Varela, P. G. Tahoces, A. J. Mendez, M. Souto, and J. J. Vidal, Computerized detection of breast masses in digitized mammograms. Computers in Biology and Medicine 37, 214 (2007).
-
(2007)
Computers in Biology and Medicine
, vol.37
, pp. 214
-
-
Varela, C.1
Tahoces, P.G.2
Mendez, A.J.3
Souto, M.4
Vidal, J.J.5
-
62
-
-
34250164655
-
Computer aided detection systems for breast masses: Comparison of performances on full-field digital mammograms and digitized screen-flim mammograms
-
J. Wei, L. M. Hadjiiski, B. Sahiner, H.-P. Chan, J. Ge, M. A. Roubidoux, M. A. Helvie, C. Zhou, Y.-T. Wu, C. Paramagul, and Y. Zhang, Computer aided detection systems for breast masses: Comparison of performances on full-field digital mammograms and digitized screen-flim mammograms. Acad. Radiol. 14, 659 (2007).
-
(2007)
Acad. Radiol.
, vol.14
, pp. 659
-
-
Wei, J.1
Hadjiiski, L.M.2
Sahiner, B.3
Chan, H.-P.4
Ge, J.5
Roubidoux, M.A.6
Helvie, M.A.7
Zhou, C.8
Wu, Y.-T.9
Paramagul, C.10
Zhang, Y.11
-
63
-
-
78349242066
-
Texture features selection for masses detection in digital mammogram
-
A. M. Khuzi, R. Besar, and W. M. D. Wan Zaki, Texture features selection for masses detection in digital mammogram, 4th Kuala Lumpur International Conference on Biomedical Engineering, Kuala Lumpur, Malaysia (2008), pp. 629-632.
-
4th Kuala Lumpur International Conference on Biomedical Engineering, Kuala Lumpur, Malaysia (2008)
, pp. 629-632
-
-
Khuzi, A.M.1
Besar, R.2
Wan Zaki, W.M.D.3
-
64
-
-
51849135863
-
Mammogrphic images enhancement and denoising for breast cancer detection using dyadic wavelet processing
-
A. Mencattini, M. Salmeri, R. Lojacono, M. Frigerio, and F. Caselli, Mammogrphic images enhancement and denoising for breast cancer detection using dyadic wavelet processing. IEEE Transactions on Instrumentation and Measurement 57, 1422 (2008).
-
(2008)
IEEE Transactions on Instrumentation and Measurement
, vol.57
, pp. 1422
-
-
Mencattini, A.1
Salmeri, M.2
Lojacono, R.3
Frigerio, M.4
Caselli, F.5
-
65
-
-
44149089793
-
Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers
-
T. Mu, A. K. Nandi, and R. M. Rangayyan, Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers. J. Digital Imaging 21, 153 (2008).
-
(2008)
J. Digital Imaging
, vol.21
, pp. 153
-
-
Mu, T.1
Nandi, A.K.2
Rangayyan, R.M.3
-
66
-
-
54049098747
-
Markov random field-based clustering applied to the segmentation of masses in digital mammograms
-
M. Suliga, R. Deklerck, and E. Nyssen, Markov random field-based clustering applied to the segmentation of masses in digital mammograms. Comput. Med. Imag. and Graphics 32, 502 (2008).
-
(2008)
Comput. Med. Imag. and Graphics
, vol.32
, pp. 502
-
-
Suliga, M.1
Deklerck, R.2
Nyssen, E.3
-
67
-
-
56749165404
-
Segmentation technique for detecting suspect masses in dense breast digitized images as a tool for mammography CAD schemes
-
H. Schiabel, V. T. Santos, and M. F. Angelo, Segmentation technique for detecting suspect masses in dense breast digitized images as a tool for mammography CAD schemes. ACM Special Interest Group on Applied Computing 1333 (2008).
-
(2008)
ACM Special Interest Group on Applied Computing
, vol.1333
-
-
Schiabel, H.1
Santos, V.T.2
Angelo, M.F.3
-
68
-
-
41949128301
-
Evaluating the effect of image preprocessing on an information theoretic CAD system in mammography
-
G. D. Tourassi, R. Ike, S. Singh, and B. Harrawood, Evaluating the effect of image preprocessing on an information theoretic CAD system in mammography. Acad. Radiol. 15, 626 (2008).
-
(2008)
Acad. Radiol.
, vol.15
, pp. 626
-
-
Tourassi, G.D.1
Ike, R.2
Singh, S.3
Harrawood, B.4
-
69
-
-
37649010087
-
Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms
-
B. Verma, Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms. Artificial Intelligence in Medicine 42, 67 (2008).
-
(2008)
Artificial Intelligence in Medicine
, vol.42
, pp. 67
-
-
Verma, B.1
-
70
-
-
79960001502
-
Preliminary diagnostics of mammograms using moments and texture features
-
M. Eisa, M. Refaat, and A. F. El-Gamal, Preliminary diagnostics of mammograms using moments and texture features. ICGST-GVIP J 9, 21 (2009).
-
(2009)
ICGST-GVIP J
, vol.9
, pp. 21
-
-
Eisa, M.1
Refaat, M.2
El-Gamal, A.F.3
-
71
-
-
79952757441
-
Automatic detection of breast cancers in mammograms using structured support vector machines
-
D. Wang, L. Shi, and P. A. Heng, Automatic detection of breast cancers in mammograms using structured support vector machines. Neurocomputing 72, 3296 (2009).
-
(2009)
Neurocomputing
, vol.72
, pp. 3296
-
-
Wang, D.1
Shi, L.2
Heng, P.A.3
-
72
-
-
77955815983
-
Detection of masses in digital mammograms using k-means and support vector machine
-
L. Martins, E. C. Silva, A. C. Silva, A. C. Paiva, and M. Gattass, Detection of masses in digital mammograms using k-means and support vector machine. Electronic letters on Computer Vision and Image analysis 8, 39 (2009).
-
(2009)
Electronic Letters on Computer Vision and Image Analysis
, vol.8
, pp. 39
-
-
Martins, L.1
Silva, E.C.2
Silva, A.C.3
Paiva, A.C.4
Gattass, M.5
-
74
-
-
67649664255
-
Development of tolerant features for characterization of masses in mammograms
-
A. Rojas-Dominguez and A. K. Nandi, Development of tolerant features for characterization of masses in mammograms. Computers in Biology and Medicine 39, 678 (2009).
-
(2009)
Computers in Biology and Medicine
, vol.39
, pp. 678
-
-
Rojas-Dominguez, A.1
Nandi, A.K.2
-
75
-
-
64549104287
-
Texture features from mammographic images and risk of breast cancer
-
A. Manduca, M. J. Carston, J. J. Heine, C. G. Scott, V. ShanePankratz, K. R. Brandt, T. A. Sellers, C. M. Vachon, and J. R. Cerhan, Texture features from mammographic images and risk of breast cancer,Cancer Epidemiol. Biomarkers Prev. 18, 837 (2009).
-
(2009)
Cancer Epidemiol. Biomarkers Prev.
, vol.18
, pp. 837
-
-
Manduca, A.1
Carston, M.J.2
Heine, J.J.3
Scott, C.G.4
ShanePankratz, V.5
Brandt, K.R.6
Sellers, T.A.7
Vachon, C.M.8
Cerhan, J.R.9
-
76
-
-
67349156354
-
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
-
B. Verma, P. McLeod, and A. Klevansky, A novel soft cluster neural network for the classification of suspicious areas in digital mammograms. Pattern Recognition 42, 1845 (2009).
-
(2009)
Pattern Recognition
, vol.42
, pp. 1845
-
-
Verma, B.1
McLeod, P.2
Klevansky, A.3
-
77
-
-
70350134243
-
Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms
-
S. Yoon and S. Kim, Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms. Pattern Recognition Letters 30, 1489 (2009).
-
(2009)
Pattern Recognition Letters
, vol.30
, pp. 1489
-
-
Yoon, S.1
Kim, S.2
-
78
-
-
59449110510
-
Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers
-
B. Zheng, Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers. Acad. Radiol. 16, 266 (2009).
-
(2009)
Acad. Radiol.
, vol.16
, pp. 266
-
-
Zheng, B.1
-
79
-
-
77049125483
-
A comparison of two methods for the segmentation of masses in the digital mammograms
-
R. B. Dubey, M. Hanmandlu, and S. K. Gupta, A comparison of two methods for the segmentation of masses in the digital mammograms. Comput. Med. Imag. and Graphics 34, 185 (2010).
-
(2010)
Comput. Med. Imag. and Graphics
, vol.34
, pp. 185
-
-
Dubey, R.B.1
Hanmandlu, M.2
Gupta, S.K.3
-
80
-
-
77956137333
-
A benign and malignant mass classification algorithm based on an improved level set segmentation and texture feature analysis
-
X. Liu, J. Liu, D. Zhou, and J. Tang, A benign and malignant mass classification algorithm based on an improved level set segmentation and texture feature analysis. 4th Intenational Conference on Bioinformatics and Biomedical Engineering, Chengdu (2010).
-
4th Intenational Conference on Bioinformatics and Biomedical Engineering, Chengdu (2010)
-
-
Liu, X.1
Liu, J.2
Zhou, D.3
Tang, J.4
-
81
-
-
84863220843
-
Diagnosing breast masses in digital mammography using feature selection and ensemble methods
-
S.-T. Luo and B.-W. Cheng, Diagnosing breast masses in digital mammography using feature selection and ensemble methods. J. Med. Sys. 36, 569 (2010).
-
(2010)
J. Med. Sys.
, vol.36
, pp. 569
-
-
Luo, S.-T.1
Cheng, B.-W.2
-
82
-
-
77950864589
-
Contourlet-based mammography mass classification using the SVM family
-
F. Moayedi, Z. Azimifar, R. Boostani, and S. Katebi, Contourlet-based mammography mass classification using the SVM family. Computers in Biology and Medicine 40, 373 (2010).
-
(2010)
Computers in Biology and Medicine
, vol.40
, pp. 373
-
-
Moayedi, F.1
Azimifar, Z.2
Boostani, R.3
Katebi, S.4
-
83
-
-
77958472400
-
Subclass fuzzy-svm classifier as an efficient method to enhance the mass detection in mammograms
-
F. Moayedi, R. Boostani, A. R. Kazemi, S. Katebi, and E. Dashti, Subclass fuzzy-svm classifier as an efficient method to enhance the mass detection in mammograms, Iranian J. Fuzzy Systems 7, 15 (2010).
-
(2010)
Iranian J. Fuzzy Systems
, vol.7
, pp. 15
-
-
Moayedi, F.1
Boostani, R.2
Kazemi, A.R.3
Katebi, S.4
Dashti, E.5
-
84
-
-
79955421172
-
Automated breast profile segmentation for ROI detection using digital mammograms
-
J. Nagi, S. A. Kareem, F. Nagi, and S. K. Ahmed, Automated breast profile segmentation for ROI detection using digital mammograms, IEEE EMBS Conference on Biomedical Engineering and Sciences, Kuala Lumpur, Malaysia (2010), pp. 87-92.
-
IEEE EMBS Conference on Biomedical Engineering and Sciences, Kuala Lumpur, Malaysia (2010)
, pp. 87-92
-
-
Nagi, J.1
Kareem, S.A.2
Nagi, F.3
Ahmed, S.K.4
-
85
-
-
77957878979
-
Effect of pixel resolution on texture of breast masses in mammograms
-
R. M. Rangayyan, T. M. Nguyen, F. J. Ayres, and A. K. Nandi, Effect of pixel resolution on texture of breast masses in mammograms. J. Digital Imaging 23, 547 (2010).
-
(2010)
J. Digital Imaging
, vol.23
, pp. 547
-
-
Rangayyan, R.M.1
Nguyen, T.M.2
Ayres, F.J.3
Nandi, A.K.4
-
86
-
-
78650187790
-
A computer-aided detection system for automatic mammography mass identification
-
H. Samma, C. P. Lim, and A. Samma, A computer-aided detection system for automatic mammography mass identification, Proceedings of the 17th International Conference on Neural Information Processing: Models and Applications, Sydney, Australia (2010), pp. 226-233.
-
Proceedings of the 17th International Conference on Neural Information Processing: Models and Applications, Sydney, Australia (2010)
, pp. 226-233
-
-
Samma, H.1
Lim, C.P.2
Samma, A.3
-
87
-
-
84860254276
-
An improved medical decision support system to identify the breast cancer using mammogram
-
M. Suganthi and M. Madheswaran, An improved medical decision support system to identify the breast cancer using mammogram. J. Med. Syst. 36, 79 (2010).
-
(2010)
J. Med. Syst.
, vol.36
, pp. 79
-
-
Suganthi, M.1
Madheswaran, M.2
-
88
-
-
77957658513
-
Computer-aided detection-The effect of training databases on detection of subtle breast masses
-
B. Zheng, X. Wang, D. Lederman, J. Tan, and D. Gur, Computer-aided detection-The effect of training databases on detection of subtle breast masses. Acad, Radiol. 17, 1401 (2010).
-
(2010)
Acad, Radiol.
, vol.17
, pp. 1401
-
-
Zheng, B.1
Wang, X.2
Lederman, D.3
Tan, J.4
Gur, D.5
-
89
-
-
79960635985
-
Detection of masses in mammogram images using CNN, geostatic functions and SVM
-
W. Borges Sampaio, E. M. Diniz, A. C. Silva, A. C. Paiva, and M. Gattass, Detection of masses in mammogram images using CNN, geostatic functions and SVM. Computers in Biology and Medicine 41, 653 (2011).
-
(2011)
Computers in Biology and Medicine
, vol.41
, pp. 653
-
-
Borges Sampaio, W.1
Diniz, E.M.2
Silva, A.C.3
Paiva, A.C.4
Gattass, M.5
-
90
-
-
79151475545
-
Expert system based on neuro-fuzzy rules for diagnosis breast cancer
-
A. Keles, A. Keles, and U. Yavuz, Expert system based on neuro-fuzzy rules for diagnosis breast cancer. Experts Systems with Applications 38, 5719 (2011).
-
(2011)
Experts Systems with Applications
, vol.38
, pp. 5719
-
-
Keles, A.1
Keles, A.2
Yavuz, U.3
-
92
-
-
78649970166
-
Performance evaluation of a region growing procedure for mammographic breast lesion identification
-
G. Rabottino, A. Mencattini, M. Salmeri, F. Caselli, and R. Lojacono, Performance evaluation of a region growing procedure for mammographic breast lesion identification. Computer Standards and Interfaces 33, 128 (2011).
-
(2011)
Computer Standards and Interfaces
, vol.33
, pp. 128
-
-
Rabottino, G.1
Mencattini, A.2
Salmeri, M.3
Caselli, F.4
Lojacono, R.5
-
93
-
-
84873050658
-
Discovering mammography-based machine learning classifiers for breast cancer diagnosis
-
R. Ramos-Pollan, M. E. Guevara-Lopez, C. Suarez-Ortega, G. Diaz-Herrero, J. M. Franco-Valiente, M. Rubio-del-solar, N. Gonzalez-de-Posada, M. A. P. Vaz, J. Loureiro, and I. Ramos, Discovering mammography-based machine learning classifiers for breast cancer diagnosis. J. Med. Sys. 36, 2259 (2011).
-
(2011)
J. Med. Sys.
, vol.36
, pp. 2259
-
-
Ramos-Pollan, R.1
Guevara-Lopez, M.E.2
Suarez-Ortega, C.3
Diaz-Herrero, G.4
Franco-Valiente, J.M.5
Rubio-del-solar, M.6
Gonzalez-de-Posada, N.7
Vaz, M.A.P.8
Loureiro, J.9
Ramos, I.10
-
94
-
-
84867299673
-
Prediction of breast cancer using artificial neural networks
-
I. Saritas, Prediction of breast cancer using artificial neural networks. J. Med. Sys. 36, 2901 (2011).
-
(2011)
J. Med. Sys.
, vol.36
, pp. 2901
-
-
Saritas, I.1
-
95
-
-
83855162264
-
A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation
-
M. M. Eltoukhy, I. Faye, and B. B. Samir, A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation. Computers in Biology and Medicine 42, 123 (2012).
-
(2012)
Computers in Biology and Medicine
, vol.42
, pp. 123
-
-
Eltoukhy, M.M.1
Faye, I.2
Samir, B.B.3
-
97
-
-
84880762552
-
Mass classification method in mammograms using correlated association rule mining
-
A. K. Mohanty, M. R. Senapati, B. Beberta, and S. K. Lenka, Mass classification method in mammograms using correlated association rule mining. Neural Comput. and Applic. 23, 273 (2012).
-
(2012)
Neural Comput. and Applic.
, vol.23
, pp. 273
-
-
Mohanty, A.K.1
Senapati, M.R.2
Beberta, B.3
Lenka, S.K.4
-
98
-
-
84876446495
-
A novel image mining technique for classification of mammograms using hybrid feature selection
-
A. K. Mohanty, M. R. Senapati, and S. K. Lenka, A novel image mining technique for classification of mammograms using hybrid feature selection. Neural Comput. and Applic. 22, 1151 (2012).
-
(2012)
Neural Comput. and Applic.
, vol.22
, pp. 1151
-
-
Mohanty, A.K.1
Senapati, M.R.2
Lenka, S.K.3
-
99
-
-
84884574830
-
Texture-based features for classification of mammograms using decision tree
-
A. K. Mohanty, M. R. Senapati, B. Beberta, and S. K. Lenka, Texture-based features for classification of mammograms using decision tree. Neural Comput. and Applic. 23, 1011 (2012).
-
(2012)
Neural Comput. and Applic.
, vol.23
, pp. 1011
-
-
Mohanty, A.K.1
Senapati, M.R.2
Beberta, B.3
Lenka, S.K.4
-
100
-
-
84896917808
-
An alternative approach to reduce massive false positivies in mammograms using block variance of local coefficients features and support vector machine
-
M. P. Nguyen, Q. D. Truong, D. T. Nguyen, T. D. Nguyen, and V. D. Nguyen, An alternative approach to reduce massive false positivies in mammograms using block variance of local coefficients features and support vector machine. Procedia Computer Science 20, 399 (2013).
-
(2013)
Procedia Computer Science
, vol.20
, pp. 399
-
-
Nguyen, M.P.1
Truong, Q.D.2
Nguyen, D.T.3
Nguyen, T.D.4
Nguyen, V.D.5
-
101
-
-
84892613237
-
Saliency based mass detection from screening mammograms
-
P. Agrawal, M. Vasta, and R. Singh, Saliency based mass detection from screening mammograms. Signal Processing 99, 29 (2014).
-
(2014)
Signal Processing
, vol.99
, pp. 29
-
-
Agrawal, P.1
Vasta, M.2
Singh, R.3
-
102
-
-
0034308129
-
A computer-aided design mammography screening system for detection and classification of microcalcifications
-
S.-K. Lee, C.-S. Lo, C.-M. Wang, P.-C. Chung, C.-I. Chang, C.-W. Yang, and P.-C. Hsu, A computer-aided design mammography screening system for detection and classification of microcalcifications. International J. Medical Informatics 60, 29 (2000).
-
(2000)
International J. Medical Informatics
, vol.60
, pp. 29
-
-
Lee, S.-K.1
Lo, C.-S.2
Wang, C.-M.3
Chung, P.-C.4
Chang, C.-I.5
Yang, C.-W.6
Hsu, P.-C.7
-
103
-
-
0034498682
-
Off-line mammography screening system embedded with hierarchically-coarse-to-fine techniques for the detection and segmentation of clustered microcalcifications
-
C.-S. Lo, P.-C. Chung, S. K. Lee, C. I. Chang, T. Lee, G.-C. Hsu, and C.-W. Yang, Off-line mammography screening system embedded with hierarchically-coarse-to-fine techniques for the detection and segmentation of clustered microcalcifications. IEICE Trans. Inf. Syst. 83, 2161 (2000).
-
(2000)
IEICE Trans. Inf. Syst.
, vol.83
, pp. 2161
-
-
Lo, C.-S.1
Chung, P.-C.2
Lee, S.K.3
Chang, C.I.4
Lee, T.5
Hsu, G.-C.6
Yang, C.-W.7
-
104
-
-
80051564488
-
Computer aided diagnosis of clustered microcalcification using artificial neural nets
-
E. Sorantin, F. Schmidt, H. Mayer, M. Becker, C. Szepesvari, E. Graif, and P. Winkler, Computer aided diagnosis of clustered microcalcification using artificial neural nets. J. Comp. Inform. Technol. 8, 151 (2000).
-
(2000)
J. Comp. Inform. Technol.
, vol.8
, pp. 151
-
-
Sorantin, E.1
Schmidt, F.2
Mayer, H.3
Becker, M.4
Szepesvari, C.5
Graif, E.6
Winkler, P.7
-
105
-
-
0033624996
-
A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films
-
S. Yu and L. Guan, A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films. IEEE Transactions on Medical Imaging 19, 115 (2000).
-
(2000)
IEEE Transactions on Medical Imaging
, vol.19
, pp. 115
-
-
Yu, S.1
Guan, L.2
-
106
-
-
0034988251
-
An SVM classifier to separate false signals from microcalcifications in digital mammograms
-
A. Bazzani, A. Bevilacqua, D. Bollini, R. Brancaccio, R. Campanini, N. Lanconelli, A. Riccardi, and D. Romani, An SVM classifier to separate false signals from microcalcifications in digital mammograms. Phys. Med. Biol. 46, 1651 (2001).
-
(2001)
Phys. Med. Biol.
, vol.46
, pp. 1651
-
-
Bazzani, A.1
Bevilacqua, A.2
Bollini, D.3
Brancaccio, R.4
Campanini, R.5
Lanconelli, N.6
Riccardi, A.7
Romani, D.8
-
107
-
-
0034969334
-
Use of artificial neural networks (computer analysis) in the diagnosis of microcalcifications on mammography
-
C. Markopoulos, E. Kouskos, K. Koufopoulos, V. Kyriakou, and J. Gogas, Use of artificial neural networks (computer analysis) in the diagnosis of microcalcifications on mammography. European J. Radiology 39, 60 (2001).
-
(2001)
European J. Radiology
, vol.39
, pp. 60
-
-
Markopoulos, C.1
Kouskos, E.2
Koufopoulos, K.3
Kyriakou, V.4
Gogas, J.5
-
109
-
-
0035263429
-
A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques
-
B. Verma and J. Zakos, A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques. IEEE Transactions on Information Technology in Biomedicine 5, 46 (2001).
-
(2001)
IEEE Transactions on Information Technology in Biomedicine
, vol.5
, pp. 46
-
-
Verma, B.1
Zakos, J.2
-
110
-
-
0037002322
-
A support vector machine approach for detection of microcalcifications
-
I. El-Naqa, Y. Yang, M. N. Wernick, N. P. Galatsanos, and R. M. Nishikawa, A support vector machine approach for detection of microcalcifications. IEEE Transactions on Medical Imaging 21, 1552 (2002).
-
(2002)
IEEE Transactions on Medical Imaging
, vol.21
, pp. 1552
-
-
El-Naqa, I.1
Yang, Y.2
Wernick, M.N.3
Galatsanos, N.P.4
Nishikawa, R.M.5
-
112
-
-
0042876899
-
Computer-aided classification of breast microcalcification clusters: Merging of features from image processing and radiologists
-
J. Y. Lo, M. K. Gavrielides, and J. L. Jesneck, Computer-aided classification of breast microcalcification clusters: Merging of features from image processing and radiologists, Proceeding of SPIE 5032, 882 (2003).
-
(2003)
Proceeding of SPIE
, vol.5032
, pp. 882
-
-
Lo, J.Y.1
Gavrielides, M.K.2
Jesneck, J.L.3
-
113
-
-
0347596501
-
Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms
-
A. Wroblewska, P. Boninski, A. Przellaskowski, and M. Kazubek, Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms. Opto-electronics Review 11, 227 (2003).
-
(2003)
Opto-electronics Review
, vol.11
, pp. 227
-
-
Wroblewska, A.1
Boninski, P.2
Przellaskowski, A.3
Kazubek, M.4
-
115
-
-
24344463437
-
Image segmentation feature selection and pattern classification for mammographic microcalcifications
-
J. C. Fu, S. K. Lee, S. T. C. Wong, J. Y. Yeh, A. H. Wang, and H. K. Wu, Image segmentation feature selection and pattern classification for mammographic microcalcifications. Comput. Med. Imag. and Graphics 29, 419 (2005).
-
(2005)
Comput. Med. Imag. and Graphics
, vol.29
, pp. 419
-
-
Fu, J.C.1
Lee, S.K.2
Wong, S.T.C.3
Yeh, J.Y.4
Wang, A.H.5
Wu, H.K.6
-
117
-
-
19044383038
-
A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications
-
L. Wei, Y. Yang, R. M. Nishikawa, and Y. Jiang, A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Transactions on Medical Imaging 24, 371 (2005).
-
(2005)
IEEE Transactions on Medical Imaging
, vol.24
, pp. 371
-
-
Wei, L.1
Yang, Y.2
Nishikawa, R.M.3
Jiang, Y.4
-
118
-
-
17444397485
-
Neural Vs, statistical classifier in conjunction with genetic algorithm based feature selection
-
P. Zhang, B. Verma, and K. Kumar, Neural Vs, statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognition Letters 26, 909 (2005).
-
(2005)
Pattern Recognition Letters
, vol.26
, pp. 909
-
-
Zhang, P.1
Verma, B.2
Kumar, K.3
-
119
-
-
29744448571
-
Detection of clustered microcalcifications in small field digital mammography
-
T. Arodz, M. Kurdziel, T. J. Popiela, E. O. D. Sevre, and D. A. Yuen, Detection of clustered microcalcifications in small field digital mammography. Computer Methods and Programs in Biomedicine 81, 56 (2006).
-
(2006)
Computer Methods and Programs in Biomedicine
, vol.81
, pp. 56
-
-
Arodz, T.1
Kurdziel, M.2
Popiela, T.J.3
Sevre, E.O.D.4
Yuen, D.A.5
-
120
-
-
33646077220
-
Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis
-
Y. Peng, B. Yao, and J. Jiang, Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis. Artificial Intelligence in Medicine 37, 43 (2006).
-
(2006)
Artificial Intelligence in Medicine
, vol.37
, pp. 43
-
-
Peng, Y.1
Yao, B.2
Jiang, J.3
-
121
-
-
34047113943
-
SVM based system for classification of microcalcifications in digital mammograms
-
S. Singh, V. Kumar, H. K. Verma, and D. Singh, SVM based system for classification of microcalcifications in digital mammograms, Proceedings of the 28th IEEE EMBS Annual International Conference, New York (2006).
-
Proceedings of the 28th IEEE EMBS Annual International Conference, New York (2006)
-
-
Singh, S.1
Kumar, V.2
Verma, H.K.3
Singh, D.4
-
122
-
-
33744520648
-
Detection of microcalcifications in digital mammograms using wavelet filter and Markov random field model
-
S.-N. Yu, K.-Y. Li, and Y.-K. Huang, Detection of microcalcifications in digital mammograms using wavelet filter and Markov random field model. Comput. Med. Imag. and Graphics 30, 163 (2006).
-
(2006)
Comput. Med. Imag. and Graphics
, vol.30
, pp. 163
-
-
Yu, S.-N.1
Li, K.-Y.2
Huang, Y.-K.3
-
123
-
-
33746359388
-
Calcification descriptor and relevance feedback learning algorithms for content-based mammogram retrieval
-
IWDM 2006
-
C.-H. Wei and C.-T. Li, Calcification descriptor and relevance feedback learning algorithms for content-based mammogram retrieval. IWDM 2006, LNCS 4046, 307 (2006).
-
(2006)
LNCS
, vol.4046
, pp. 307
-
-
Wei, C.-H.1
Li, C.-T.2
-
124
-
-
34247150397
-
Computer aided detection system for clustered microcalcifications: Comparison of performance on full field digital mammograms and digitized screen-film mammograms
-
J. Ge, L. M. Hadjiiski, B. Sahiner, J. Wei, M. A. Helvie, C. Zhou, and H.-P. Chan, Computer aided detection system for clustered microcalcifications: Comparison of performance on full field digital mammograms and digitized screen-film mammograms. Phys. Med. Biol. 52, 981 (2007).
-
(2007)
Phys. Med. Biol.
, vol.52
, pp. 981
-
-
Ge, J.1
Hadjiiski, L.M.2
Sahiner, B.3
Wei, J.4
Helvie, M.A.5
Zhou, C.6
Chan, H.-P.7
-
125
-
-
33947383729
-
Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks
-
S. Halkiotis, T. Botsis, and M. Rangoussi, Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks. Signal Processing 87, 1559 (2007).
-
(2007)
Signal Processing
, vol.87
, pp. 1559
-
-
Halkiotis, S.1
Botsis, T.2
Rangoussi, M.3
-
126
-
-
84931081837
-
Comparison of class separability, forward sequential search and genetic algorithms for feature selection in the classification of individual and clustered microcalcifications in digital mammograms
-
R. R. Hernandez-Cisneros, H. Terashima-Marin, and S. Conant-Pablos, Comparison of class separability, forward sequential search and genetic algorithms for feature selection in the classification of individual and clustered microcalcifications in digital mammograms, International Conference in Image Analysis and Recognition Canada (2007).
-
International Conference in Image Analysis and Recognition Canada (2007)
-
-
Hernandez-Cisneros, R.R.1
Terashima-Marin, H.2
Conant-Pablos, S.3
-
127
-
-
34948843453
-
Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis
-
A. Karahaliou, S. Skiadopoulos, I. Boniatis, P. Sakellaropoulos, E. Likaki, G. Panayiotakis, and L. Costaridou, Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis. British J. Radiology 80, 648 (2014).
-
(2014)
British J. Radiology
, vol.80
, pp. 648
-
-
Karahaliou, A.1
Skiadopoulos, S.2
Boniatis, I.3
Sakellaropoulos, P.4
Likaki, E.5
Panayiotakis, G.6
Costaridou, L.7
-
128
-
-
34249941777
-
Automatic detection of the breast border and nipple position on digital mammograms using genetic algorithm for asymmetry approach to detection of microcalcifications
-
M. Karnan and K. Thangavel, Automatic detection of the breast border and nipple position on digital mammograms using genetic algorithm for asymmetry approach to detection of microcalcifications. Computer Methods and Programs in Biomedicine 87, 12 (2007).
-
(2007)
Computer Methods and Programs in Biomedicine
, vol.87
, pp. 12
-
-
Karnan, M.1
Thangavel, K.2
-
129
-
-
33846829794
-
A novel neural-genetic algorithm to find the most significant combination of digital mammograms
-
B. Verma and P. Zhang, A novel neural-genetic algorithm to find the most significant combination of digital mammograms. Applied Soft Computing 7, 612 (2007).
-
(2007)
Applied Soft Computing
, vol.7
, pp. 612
-
-
Verma, B.1
Zhang, P.2
-
130
-
-
54949158747
-
Computer-based identification of breast cancer using digitized mammograms
-
U. R. Acharya, E. Y. K. Ng, Y. H. Chang, J. Yang, and G. J. L. Kaw, Computer-based identification of breast cancer using digitized mammograms. J. Med. Syst. 32, 499 (2008).
-
(2008)
J. Med. Syst.
, vol.32
, pp. 499
-
-
Acharya, U.R.1
Ng, E.Y.K.2
Chang, Y.H.3
Yang, J.4
Kaw, G.J.L.5
-
132
-
-
51849117172
-
Dual-energy digital mammography for calcification imaging: Noise reduction techniques
-
S. C. Kappadath and C. C. Shaw, Dual-energy digital mammography for calcification imaging: Noise reduction techniques. Phys. Med. Biol. 53, 5421 (2008).
-
(2008)
Phys. Med. Biol.
, vol.53
, pp. 5421
-
-
Kappadath, S.C.1
Shaw, C.C.2
-
133
-
-
56549106951
-
Breast cancer diagnosis: Analyzing texture of tissue surrounding microcalcifications
-
A. N. Karahaliou, S. I. Boniatis, S. G. Skiadopoulos, F. N. Sakellaropoulos, A. S. Arikidis, G. Panayiotakis, E. A. Likaki, G. S. Panayiotakis, and L. I. Costaridou, L. I., Breast cancer diagnosis: Analyzing texture of tissue surrounding microcalcifications. IEEE Transactions on Information Technology in Medicine 12, 731 (2008)
-
(2008)
IEEE Transactions on Information Technology in Medicine
, vol.12
, pp. 731
-
-
Karahaliou, A.N.1
Boniatis, S.I.2
Skiadopoulos, S.G.3
Sakellaropoulos, F.N.4
Arikidis, A.S.5
Panayiotakis, G.6
Likaki, E.A.7
Panayiotakis, G.S.8
Costaridou, L.I.9
I, L.10
-
134
-
-
56449098759
-
A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms
-
N. R. Pal, B. Bhowmick, S. K. Patel, S. Pal, and J. Das, A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms. Neurocomputing 71, 2625 (2008).
-
(2008)
Neurocomputing
, vol.71
, pp. 2625
-
-
Pal, N.R.1
Bhowmick, B.2
Patel, S.K.3
Pal, S.4
Das, J.5
-
135
-
-
53049094780
-
Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques
-
A. Papadopoulos, D. I. Fotiadis, and L. Costaridou, Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques. Computers in Biology and Medicine 38, 1045 (2008).
-
(2008)
Computers in Biology and Medicine
, vol.38
, pp. 1045
-
-
Papadopoulos, A.1
Fotiadis, D.I.2
Costaridou, L.3
-
136
-
-
70449513713
-
Feature selection in computer aided diagnostic system for microcalcification detection in digital mammograms
-
M. A. Alolfe, W. A. Mohamed, A. M. Youssef, Y. M. Kadah, and A. S. Mohamed, Feature selection in computer aided diagnostic system for microcalcification detection in digital mammograms, 26th National Radio Science Conference, New Cairo, Egypt (2009).
-
26th National Radio Science Conference, New Cairo, Egypt (2009)
-
-
Alolfe, M.A.1
Mohamed, W.A.2
Youssef, A.M.3
Kadah, Y.M.4
Mohamed, A.S.5
-
137
-
-
70449510491
-
Computer aided diagnosis system for classification of microcalcifications in digital mammograms
-
M. E. Osman, M. A. Wahed, A. S. Mohamed, and Y. M. Kadah, Computer aided diagnosis system for classification of microcalcifications in digital mammograms, 26th National Radio Science Conference, Egypt (2009).
-
26th National Radio Science Conference, Egypt (2009)
-
-
Osman, M.E.1
Wahed, M.A.2
Mohamed, A.S.3
Kadah, Y.M.4
-
139
-
-
78651524032
-
MCs detection with combined image features and twin support vector machines
-
X. Zhang, X. Gao, and Y. Wang, MCs detection with combined image features and twin support vector machines. J. Computers 4, 215 (2009).
-
(2009)
J. Computers
, vol.4
, pp. 215
-
-
Zhang, X.1
Gao, X.2
Wang, Y.3
-
140
-
-
77950187218
-
Detection of microcalcifications in digital mammograms using combined model-based and statistical textural features
-
S.-N. Yu, K.-Y. Li, and Y.-K. Huang, Detection of microcalcifications in digital mammograms using combined model-based and statistical textural features. Expert Systems with Applications 37, 5461 (2010).
-
(2010)
Expert Systems with Applications
, vol.37
, pp. 5461
-
-
Yu, S.-N.1
Li, K.-Y.2
Huang, Y.-K.3
-
141
-
-
77955279059
-
A computer-aided detection system for clustered microcalcifications
-
C. Marrocco, M. Molinara, C. D'Elia, and F. Torto, A computer-aided detection system for clustered microcalcifications. Artificial Intelligence in Medicine 50, 23 (2010).
-
(2010)
Artificial Intelligence in Medicine
, vol.50
, pp. 23
-
-
Marrocco, C.1
Molinara, M.2
D'Elia, C.3
Torto, F.4
-
143
-
-
79951800160
-
Diagnose breast cancer through mammograms, using image processing techniques and optimization techniques
-
M. Karnan and K. Rajiv Gandhi, Diagnose breast cancer through mammograms, using image processing techniques and optimization techniques, IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, India (2010).
-
IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, India (2010)
-
-
Karnan, M.1
Rajiv Gandhi, K.2
-
144
-
-
84859953180
-
Comparing the performance of image enhancement methods to detect microcalcification clusters in digital mammography
-
H. Moradmand, S. Setayeshi, A. R. Karimian, M. Sirous, and M. E. Akbari, Comparing the performance of image enhancement methods to detect microcalcification clusters in digital mammography. Iran J. Cancer Prev. 2, 61 (2012).
-
(2012)
Iran J. Cancer Prev.
, vol.2
, pp. 61
-
-
Moradmand, H.1
Setayeshi, S.2
Karimian, A.R.3
Sirous, M.4
Akbari, M.E.5
-
145
-
-
84884293967
-
Mammographic image denoising and enhancement using the anscombe transformation, adaptive wiener filtering, and the modulation transfer function
-
L. C. S. Ramualdo, M. A. C. Vieira, H. Schiabel, N. D. A. Mascarenhas, and L. R. Borges, Mammographic image denoising and enhancement using the anscombe transformation, adaptive wiener filtering, and the modulation transfer function. J Digit. Imaging 26, 183 (2012).
-
(2012)
J Digit. Imaging
, vol.26
, pp. 183
-
-
Ramualdo, L.C.S.1
Vieira, M.A.C.2
Schiabel, H.3
Mascarenhas, N.D.A.4
Borges, L.R.5
-
146
-
-
84877600915
-
Automated feature set selection and its application to MCC identification indigital mammograms for breast cancer detection
-
Y. J. Huang, D. Y. Chan, D. C. Cheng, Y. J., P. P. Tsai, W. C. Shen, and R. F. Chen, Automated feature set selection and its application to MCC identification indigital mammograms for breast cancer detection. Sensors 13, 4855 (2012).
-
(2012)
Sensors
, vol.13
, pp. 4855
-
-
Huang, Y.J.1
Chan, D.Y.2
Cheng, D.C.3
J, Y.4
Tsai, P.P.5
Shen, W.C.6
Chen, R.F.7
-
147
-
-
84884559302
-
Decision support system for breast cancer detection using mammograms
-
K. Ganesan, U. R. Acharya, C. K. Chua, L. C. Min, B. Mathew, and K. T. Abraham, Decision support system for breast cancer detection using mammograms, Proceedings of the Institution of Mechanical Engineers, Part H, J. Engineering in Medicine (2013).
-
Proceedings of the Institution of Mechanical Engineers, Part H, J. Engineering in Medicine (2013)
-
-
Ganesan, K.1
Acharya, U.R.2
Chua, C.K.3
Min, L.C.4
Mathew, B.5
Abraham, K.T.6
-
149
-
-
33745332155
-
Diagnosis of breast cancer in digital mammograms using independent component analysis and neural networks
-
CIARP 2005
-
L. F. A. Campos, A. C. Silva, and A. K. Barros, Diagnosis of breast cancer in digital mammograms using independent component analysis and neural networks. CIARP 2005, LNCS 3773, 460 (2009).
-
(2009)
LNCS
, vol.3773
, pp. 460
-
-
Campos, L.F.A.1
Silva, A.C.2
Barros, A.K.3
-
151
-
-
15744379052
-
Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines
-
M. Mavroforakis, H. Georgiou, N. Dimitropoulos, D. Cavouras, and S. Theodoridis, Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines. European J. Radiology 54, 80 (2005).
-
(2005)
European J. Radiology
, vol.54
, pp. 80
-
-
Mavroforakis, M.1
Georgiou, H.2
Dimitropoulos, N.3
Cavouras, D.4
Theodoridis, S.5
-
152
-
-
33750702140
-
Characterization of breast abnormality patterns in digital mammograms using auto-associator neural network
-
ICONIP 2006
-
R. Panchal and B. Verma, Characterization of breast abnormality patterns in digital mammograms using auto-associator neural network. ICONIP 2006, LNCS 4234, 127 (2006).
-
(2006)
LNCS
, vol.4234
, pp. 127
-
-
Panchal, R.1
Verma, B.2
-
154
-
-
33744805830
-
Rough set approach for classification of breast cancer mammogram images
-
A. E. Hassanien and J. M. H. Ali, Rough set approach for classification of breast cancer mammogram images. LNCS 2955, 224 (2006).
-
(2006)
LNCS
, vol.2955
, pp. 224
-
-
Hassanien, A.E.1
Ali, J.M.H.2
-
155
-
-
33749842760
-
Computer aided classification of mammographic tissue using independent component analysis and support vector machines
-
ICANN 2006
-
A. Koutras, Christoyianni, G. Georgoulas, and E. Dermatas, Computer aided classification of mammographic tissue using independent component analysis and support vector machines. ICANN 2006, LNCS 4132, 568 (2006).
-
(2006)
LNCS
, vol.4132
, pp. 568
-
-
Koutras, A.1
Christoyianni2
Georgoulas, G.3
Dermatas, E.4
-
156
-
-
33947526434
-
Independent component analysis and neural networks applied for classification of malignant, benign and normal tissue in digital mammography
-
L. F. A. Campos, A. C. Silva, and A. K. Barros, Independent component analysis and neural networks applied for classification of malignant, benign and normal tissue in digital mammography. Methods Inf. Med. 46, 212 (2007).
-
(2007)
Methods Inf. Med.
, vol.46
, pp. 212
-
-
Campos, L.F.A.1
Silva, A.C.2
Barros, A.K.3
-
157
-
-
33845214650
-
Fuzzy rough sets hybrid scheme for breast cancer detection
-
A. E. Hassanien, Fuzzy rough sets hybrid scheme for breast cancer detection. Image and Vision Computing 25, 172 (2007).
-
(2007)
Image and Vision Computing
, vol.25
, pp. 172
-
-
Hassanien, A.E.1
-
158
-
-
50249099338
-
Breast cancer detection based on statistical textural features classification
-
A. M. Al Mutaz, S. Deris, N. Zaki, and D. M. Ghoneim, Breast cancer detection based on statistical textural features classification, 4th International Conference on Innovations in Information Technology, Dubai, UAE (2007).
-
4th International Conference on Innovations in Information Technology, Dubai, UAE (2007)
-
-
Al Mutaz, A.M.1
Deris, S.2
Zaki, N.3
Ghoneim, D.M.4
-
159
-
-
50649121279
-
Development of a computer-aided classification system for cancer detection from digital mammograms
-
M. A. Alolfe, A. M. Youssef, Y. M. Kadah, and A. S. Mohamed, Development of a computer-aided classification system for cancer detection from digital mammograms, 25th National Radio Science Conference, Egypt (2008).
-
25th National Radio Science Conference, Egypt (2008)
-
-
Alolfe, M.A.1
Youssef, A.M.2
Kadah, Y.M.3
Mohamed, A.S.4
-
162
-
-
70349566412
-
Statistical analysis of mammographic features and its classification using support vector machine
-
M. Muthu Rama Krishnan, S. Banerjee, C. Chakraborty, C. Chakraborty, and A. K. Ray, Statistical analysis of mammographic features and its classification using support vector machine. Expert Systems with Applications 37, 470 (2010).
-
(2010)
Expert Systems with Applications
, vol.37
, pp. 470
-
-
Muthu Rama Krishnan, M.1
Banerjee, S.2
Chakraborty, C.3
Chakraborty, C.4
Ray, A.K.5
-
163
-
-
82755182021
-
Comparative study on feature extraction method for breast cancer classification
-
R. Nithya and B. Santhi, Comparative study on feature extraction method for breast cancer classification. J. Theoretical and Applied Information Technology 33, 220 (2011).
-
(2011)
J. Theoretical and Applied Information Technology
, vol.33
, pp. 220
-
-
Nithya, R.1
Santhi, B.2
-
165
-
-
83755228864
-
Intuitionistic fuzzy c-means and decision tree approach for breast cancer detection and classification
-
S. Shanthi and V. Murali Bhaskaran, Intuitionistic fuzzy c-means and decision tree approach for breast cancer detection and classification. European J. Scientific Research 66, 345 (2011).
-
(2011)
European J. Scientific Research
, vol.66
, pp. 345
-
-
Shanthi, S.1
Murali Bhaskaran, V.2
-
167
-
-
84864946394
-
Breast cancer diagnosis system based on contourlet analysis and support vector machine
-
S. Dehghani and M. A. Dezfooli, Breast cancer diagnosis system based on contourlet analysis and support vector machine. World Appl. Sci. J. 13, 1067 (2011).
-
(2011)
World Appl. Sci. J.
, vol.13
, pp. 1067
-
-
Dehghani, S.1
Dezfooli, M.A.2
-
168
-
-
80955158411
-
Wavelet packet energy, Tsallis entropy and statistical parameterization for support vector-based and neural-based classification of mammographic regions
-
J. F. Ramirez-Villegas and D. F. Ramirez-Moreno, Wavelet packet energy, Tsallis entropy and statistical parameterization for support vector-based and neural-based classification of mammographic regions. Neurocomputing 77, 82 (2012).
-
(2012)
Neurocomputing
, vol.77
, pp. 82
-
-
Ramirez-Villegas, J.F.1
Ramirez-Moreno, D.F.2
-
169
-
-
84892442109
-
One-class classification of mammograms using trace transform functional
-
K. Ganesan, U. R. Acharya, C. K. Chua, C. M. Lim, and K. T. Abraham, One-class classification of mammograms using trace transform functional. IEEE Transactions on Instrumentation and Measurement 63 (2014).
-
(2014)
IEEE Transactions on Instrumentation and Measurement
, vol.63
-
-
Ganesan, K.1
Acharya, U.R.2
Chua, C.K.3
Lim, C.M.4
Abraham, K.T.5
-
170
-
-
84904339110
-
Automated diagnosis of mammogram images of breast cancer using discrete wavelet transform and spherical wavelet transform features: A comparative study
-
K. Ganesan, U. R. Acharya, C. K. Chua, C. M. Lim, and K. T. Abraham, Automated diagnosis of mammogram images of breast cancer using discrete wavelet transform and spherical wavelet transform features: A comparative study. Technology in Cancer Research and Treatment 13 (2014).
-
(2014)
Technology in Cancer Research and Treatment
, vol.13
-
-
Ganesan, K.1
Acharya, U.R.2
Chua, C.K.3
Lim, C.M.4
Abraham, K.T.5
-
171
-
-
33749606029
-
Automatic classification of breast density
-
A. Oliver, J. Freixenet, and R. Zwiggelaar, Automatic classification of breast density, Proceedings of the IEEE International Conference on Image Processing 2, 1258 (2005).
-
(2005)
Proceedings of the IEEE International Conference on Image Processing
, vol.2
, pp. 1258
-
-
Oliver, A.1
Freixenet, J.2
Zwiggelaar, R.3
-
172
-
-
33750228430
-
Modeling and classifying breast tissue density in mammograms
-
A. Bosch, X. Munoz, A. Oliver, and J. Marti, Modeling and classifying breast tissue density in mammograms, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2, 1552 (2006).
-
(2006)
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 1552
-
-
Bosch, A.1
Munoz, X.2
Oliver, A.3
Marti, J.4
-
173
-
-
79551681197
-
A comparison of breast tissue classification techniques
-
MICCAI 2006
-
A. Oliver, J. Freixenet, R. Marti, and R. Zwiggelaar A comparison of breast tissue classification techniques. MICCAI 2006, LNCS 491, 872 (2006).
-
(2006)
LNCS
, vol.491
, pp. 872
-
-
Oliver, A.1
Freixenet, J.2
Marti, R.3
Zwiggelaar, R.4
-
174
-
-
84931079905
-
Content-based retrieval of mammograms using visual features related to breast density patterns
-
S. K. Kinoshita, P. M. Azevedo-Marques, R. R. Pereira, J. A. H. Rodrigues, and R. M. Rangayyan, Content-based retrieval of mammograms using visual features related to breast density patterns. J. Digital Imaging 21, 37 (2007).
-
(2007)
J. Digital Imaging
, vol.21
, pp. 37
-
-
Kinoshita, S.K.1
Azevedo-Marques, P.M.2
Pereira, R.R.3
Rodrigues, J.A.H.4
Rangayyan, R.M.5
-
175
-
-
33845329825
-
Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms
-
H. S. Sheshadri and A. Kandaswamy, Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms. Comput. Med. Imag. and Graphics 31, 46 (2007).
-
(2007)
Comput. Med. Imag. and Graphics
, vol.31
, pp. 46
-
-
Sheshadri, H.S.1
Kandaswamy, A.2
-
176
-
-
36148988424
-
Semiautomatic mammographic parenchymal patterns classification using multiple statistical features
-
C. Castella, K. Kinkel, M. P. Eckstein, P.-E. Sottas, F. R. Verdun, and F. O. Bochud, Semiautomatic mammographic parenchymal patterns classification using multiple statistical features. Acad. Radiol. 14, 1486 (2007).
-
(2007)
Acad. Radiol.
, vol.14
, pp. 1486
-
-
Castella, C.1
Kinkel, K.2
Eckstein, M.P.3
Sottas, P.-E.4
Verdun, F.R.5
Bochud, F.O.6
-
177
-
-
77950319697
-
Classifying mammograms using texture information
-
A. Oliver, X. Llado, R. Marti, J. Freixenet, and R. Zwiggelaar, Classifying mammograms using texture information. Medical Image Understanding and Analysis 223 (2007).
-
(2007)
Medical Image Understanding and Analysis
, vol.223
-
-
Oliver, A.1
Llado, X.2
Marti, R.3
Freixenet, J.4
Zwiggelaar, R.5
-
178
-
-
50949132005
-
Breast density segmentation: A comparison of clustering and region based techniques
-
IWDM 2008
-
A. Torrent, A. Bardera, A. Oliver, J. Freixent, I. Boada, M. Feixes, R. Marti, X. Llado, J. Pont, E. Perez, Pedraza, and J. Marti, Breast density segmentation: A comparison of clustering and region based techniques. IWDM 2008, LNCS 5116, 9 (2008).
-
(2008)
LNCS
, vol.5116
, pp. 9
-
-
Torrent, A.1
Bardera, A.2
Oliver, A.3
Freixent, J.4
Boada, I.5
Feixes, M.6
Marti, R.7
Llado, X.8
Pont, J.9
Perez, E.10
Pedraza11
Marti, J.12
-
181
-
-
79954609832
-
Automatic breast density segmentation: An integration of different approaches
-
M. G. J. Kallenberg, M. Lokate, G. H. V. Gils, and N. Karssemeijer, Automatic breast density segmentation: An integration of different approaches. Phys. Med. Biol. 56, 2715 (2011).
-
(2011)
Phys. Med. Biol.
, vol.56
, pp. 2715
-
-
Kallenberg, M.G.J.1
Lokate, M.2
Gils, G.H.V.3
Karssemeijer, N.4
-
182
-
-
80055050119
-
Effect of breast density in selecting features for normal mammogram detection
-
M. Elshinawy, A. H. Badawy, W. Abdelmageed, and M. Chouikha, Effect of breast density in selecting features for normal mammogram detection, IEEE International symposium on Biomedical Imaging: From Nano to Macro, Chicago (2011).
-
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago (2011)
-
-
Elshinawy, M.1
Badawy, A.H.2
Abdelmageed, W.3
Chouikha, M.4
-
183
-
-
84931031367
-
Mammogrphic image based breast tissue classification with kernel self-contained fisher discriminant for breast cancer diagnosis
-
J. B. Li, Mammogrphic image based breast tissue classification with kernel self-contained fisher discriminant for breast cancer diagnosis. J. Med. Syst. (2011)
-
(2011)
J. Med. Syst.
-
-
Li, J.B.1
-
184
-
-
79952362886
-
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry
-
S. D. Tzikopoulos, M. E. Mavroforakis, H. V. Georgiou, N. Dimitropoulos, and S. Theodoridis, A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Computer Methods and Programs in Biomedicine 102, 47 (2011).
-
(2011)
Computer Methods and Programs in Biomedicine
, vol.102
, pp. 47
-
-
Tzikopoulos, S.D.1
Mavroforakis, M.E.2
Georgiou, H.V.3
Dimitropoulos, N.4
Theodoridis, S.5
-
185
-
-
84876115364
-
Background intensity independent texture features for assessing breast cancer risk in screening mammograms
-
X. Z. Li, S. Williams, and M. J. Bottema, Background intensity independent texture features for assessing breast cancer risk in screening mammograms. Pattern Recognition Letters 34, 1053 (2013).
-
(2013)
Pattern Recognition Letters
, vol.34
, pp. 1053
-
-
Li, X.Z.1
Williams, S.2
Bottema, M.J.3
-
186
-
-
84887356037
-
Texture and region dependent breast cancer risk assessment from screening mammograms
-
X. Z. Li, S. Williams, and M. J. Bottema, Texture and region dependent breast cancer risk assessment from screening mammograms. Pattern Recognition Letters 36, 117 (2014).
-
(2014)
Pattern Recognition Letters
, vol.36
, pp. 117
-
-
Li, X.Z.1
Williams, S.2
Bottema, M.J.3
-
188
-
-
34247586627
-
Two graph theory based methods for identifying the pectoral muscle in mammograms
-
F. Ma, M. Bajger, J. P. Slavotinek, and M. J. Bottema, Two graph theory based methods for identifying the pectoral muscle in mammograms, Pattern Recognition 40, 2592 (2007).
-
(2007)
Pattern Recognition
, vol.40
, pp. 2592
-
-
Ma, F.1
Bajger, M.2
Slavotinek, J.P.3
Bottema, M.J.4
-
189
-
-
77951860041
-
Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model
-
L. Wang, M.-L. Zhu, L.-P. Deng, and X. Yuan, Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model. J. Zhejiang Univ. Sci. C 11, 111 (2010).
-
(2010)
J. Zhejiang Univ. Sci. C
, vol.11
, pp. 111
-
-
Wang, L.1
Zhu, M.-L.2
Deng, L.-P.3
Yuan, X.4
-
190
-
-
84865684717
-
A pectoral muscle segmentation algorithm for digital mammograms using Otsu thresholding and multiple regression analysis
-
C.-C. Liu, C.-Y. Tsai, J. Liu, C.-Y. Yu, and S.-S. Yu, A pectoral muscle segmentation algorithm for digital mammograms using Otsu thresholding and multiple regression analysis. Computers and Mathematics with Applications 64, 1100 (2012).
-
(2012)
Computers and Mathematics with Applications
, vol.64
, pp. 1100
-
-
Liu, C.-C.1
Tsai, C.-Y.2
Liu, J.3
Yu, C.-Y.4
Yu, S.-S.5
-
191
-
-
2342433425
-
Identification of the breast boundary in mammograms using active contour models
-
R. J. Ferrari, A. F. Frere, R. M. Rangayyan, J. E. L. Desautels, and R. A. Borges, Identification of the breast boundary in mammograms using active contour models. Med. Biol. Eng. Comput. 42, 201 (2004).
-
(2004)
Med. Biol. Eng. Comput.
, vol.42
, pp. 201
-
-
Ferrari, R.J.1
Frere, A.F.2
Rangayyan, R.M.3
Desautels, J.E.L.4
Borges, R.A.5
-
192
-
-
77957554809
-
Computer-aided detection of architectural distortion in prior mammograms of interval cancer
-
R. M. Rangayyan, S. Banik, and J. E. Desautels, Computer-aided detection of architectural distortion in prior mammograms of interval cancer. J. Digital Imaging 23, 611 (2010).
-
(2010)
J. Digital Imaging
, vol.23
, pp. 611
-
-
Rangayyan, R.M.1
Banik, S.2
Desautels, J.E.3
-
194
-
-
33846907583
-
Effect of adaptive-neighborhood contrast enhancement on the extraction of the breast skinline in mammograms
-
Y. Sun, J. Suri, Z. Ye, R. M. Rangayyan, and R. Janer, Effect of adaptive-neighborhood contrast enhancement on the extraction of the breast skinline in mammograms, Proceedings of the IEEE 27th Annual Conference on Engineering in Medicine and Biology, Shanghai (2005).
-
Proceedings of the IEEE 27th Annual Conference on Engineering in Medicine and Biology, Shanghai (2005)
-
-
Sun, Y.1
Suri, J.2
Ye, Z.3
Rangayyan, R.M.4
Janer, R.5
-
195
-
-
33744778791
-
A new approach for breast skin-line estimation in mammograms
-
Y. Sun, J. S. Suri, J. E. Leo Desautels, and R. M. Rangayyan, A new approach for breast skin-line estimation in mammograms, Pattern. Anal. Applic. 9, 34 (2006).
-
(2006)
Pattern. Anal. Applic.
, vol.9
, pp. 34
-
-
Sun, Y.1
Suri, J.S.2
Leo Desautels, J.E.3
Rangayyan, R.M.4
-
196
-
-
84931097846
-
Application of contour models for the detection of cancer tumors in breast tissue
-
H. S. Sheshadri and A. Kandaswamy, Application of contour models for the detection of cancer tumors in breast tissue. Internet J. Medical Simulation 1 (2004).
-
(2004)
Internet J. Medical Simulation
, vol.1
-
-
Sheshadri, H.S.1
Kandaswamy, A.2
-
197
-
-
41549151243
-
Detection of architectural distortion in prior screening mammograms using Gabor filters, phase portraits, fractal dimension, and texture analysis
-
R. M. Rangayyan, S. Prajna, F. J. Ayres, and J. E. Desautels, Detection of architectural distortion in prior screening mammograms using Gabor filters, phase portraits, fractal dimension, and texture analysis. Int. J. Computer Assisted Radiology and Surgery 2, 347 (2008).
-
(2008)
Int. J. Computer Assisted Radiology and Surgery
, vol.2
, pp. 347
-
-
Rangayyan, R.M.1
Prajna, S.2
Ayres, F.J.3
Desautels, J.E.4
-
198
-
-
48749106814
-
Textural classification of mammographic parenchymal patterns with the SONNET selforganising neural network
-
D. Howard, S. C. Roberts, C. Ryan, and A. Brezulianu, Textural classification of mammographic parenchymal patterns with the SONNET selforganising neural network. J. Biomedicine and Biotechnology 1 (2008).
-
(2008)
J. Biomedicine and Biotechnology
, pp. 1
-
-
Howard, D.1
Roberts, S.C.2
Ryan, C.3
Brezulianu, A.4
-
200
-
-
0023823049
-
A survey of thresholding techniques
-
P. K. Sahoo, S. Soltani, and A. K. C. Wong, A survey of thresholding techniques. Computer Vision, Graphics, and Image Processing 41, 233 (1988).
-
(1988)
Computer Vision, Graphics, and Image Processing
, vol.41
, pp. 233
-
-
Sahoo, P.K.1
Soltani, S.2
Wong, A.K.C.3
-
201
-
-
15944378223
-
Watershed segmentation for binary images with different distance transforms
-
Q. Chen, X. Yang, and E. M. Petriu, Watershed segmentation for binary images with different distance transforms, IEEE International Conference on Haptic, Audio and Visual Environments and Applications, Ottawa, Canada (2004).
-
IEEE International Conference on Haptic, Audio and Visual Environments and Applications, Ottawa, Canada (2004)
-
-
Chen, Q.1
Yang, X.2
Petriu, E.M.3
-
202
-
-
77549085806
-
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients
-
D. Soria, J. M. Garibaldi, and F. Ambrogi, A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Computers in Biology and Medicine 40, 318 (2010).
-
(2010)
Computers in Biology and Medicine
, vol.40
, pp. 318
-
-
Soria, D.1
Garibaldi, J.M.2
Ambrogi, F.3
-
203
-
-
77949269627
-
Application of k- and fuzzy c-means for color segmentation of thermal infrared breast images
-
M. EtehadTavakol, S. Sadri, and E. Y. K. Ng, Application of k- and fuzzy c-means for color segmentation of thermal infrared breast images. J. Med. Sys. 34, 35 (2010).
-
(2010)
J. Med. Sys.
, vol.34
, pp. 35
-
-
EtehadTavakol, M.1
Sadri, S.2
Ng, E.Y.K.3
-
204
-
-
31544461548
-
Fuzzy c-means clustering with spatial information for image segmentation
-
K.-S. Chuang, H.-L. Tzeng, S. Chen, J. Wu, and T.-J. Chen, Fuzzy c-means clustering with spatial information for image segmentation. Comput. Med. Imag. and Graphics 30, 9 (2006).
-
(2006)
Comput. Med. Imag. and Graphics
, vol.30
, pp. 9
-
-
Chuang, K.-S.1
Tzeng, H.-L.2
Chen, S.3
Wu, J.4
Chen, T.-J.5
-
205
-
-
0032587727
-
Statistical textural for detection of microcalcifications in digitized mammograms
-
J. K. Kim and H. W. Park, Statistical textural for detection of microcalcifications in digitized mammograms. IEEE Transactions on Medical Imaging 18, 231 (1999).
-
(1999)
IEEE Transactions on Medical Imaging
, vol.18
, pp. 231
-
-
Kim, J.K.1
Park, H.W.2
-
206
-
-
0032050535
-
Detection of clustered microcalcifications on mammograms using surrounding region dependence method and artificial neural network
-
J. K. Kim, J. M. Park, K. S. Song, and H. W. Park, Detection of clustered microcalcifications on mammograms using surrounding region dependence method and artificial neural network. J. VLSI Signal Processing 18, 251 (1998).
-
(1998)
J. VLSI Signal Processing
, vol.18
, pp. 251
-
-
Kim, J.K.1
Park, J.M.2
Song, K.S.3
Park, H.W.4
-
207
-
-
84931036210
-
Automated identification of infarcted myocardium tissue characterisation using ultrasound images: A review
-
V. Sudarshan, U. R. Acharya, E. Y. Ng, S. M. Chou, and R. S. Tan, Automated identification of infarcted myocardium tissue characterisation using ultrasound images: A review. IEEE Reviews in Biomedical Engineering 1 (2014).
-
(2014)
IEEE Reviews in Biomedical Engineering
, vol.1
-
-
Sudarshan, V.1
Acharya, U.R.2
Ng, E.Y.3
Chou, S.M.4
Tan, R.S.5
-
208
-
-
84877720358
-
Mammographical mass detection and classification using Local Seed Region Growing-Spherical Wavelet Transform (LSRG-SWT)
-
P. Gorgel, A. Sertbas, and O. N. Ucan, Mammographical mass detection and classification using Local Seed Region Growing-Spherical Wavelet Transform (LSRG-SWT). Computers in Biology and Medicine 43, 765 (2013).
-
(2013)
Computers in Biology and Medicine
, vol.43
, pp. 765
-
-
Gorgel, P.1
Sertbas, A.2
Ucan, O.N.3
-
209
-
-
84155181072
-
ANN versus SVM: Which one performs better in classification of MCCs in mammogram imaging?
-
J. Ren, ANN versus SVM: Which one performs better in classification of MCCs in mammogram imaging?. Knowledge-Based Systems 26, 144 (2011).
-
(2011)
Knowledge-Based Systems
, vol.26
, pp. 144
-
-
Ren, J.1
-
210
-
-
56349123043
-
An expert system for detection of breast cancer based on association rules and neural network
-
M. Karabatak and M. C. Ince, An expert system for detection of breast cancer based on association rules and neural network. Expert Systems with Applications 36, 3465 (2009).
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 3465
-
-
Karabatak, M.1
Ince, M.C.2
-
211
-
-
0033337021
-
Fisher discriminant analysis with kernels
-
S. Mika, G. Ratsch, J. Weston, B. Scholkopf, and K.-R. Muller, Fisher discriminant analysis with kernels, Proceedings of IEEE Workshop on Neural Networks for Signal Processing 23 (1999).
-
(1999)
Proceedings of IEEE Workshop on Neural Networks for Signal Processing
, vol.23
-
-
Mika, S.1
Ratsch, G.2
Weston, J.3
Scholkopf, B.4
Muller, K.-R.5
-
212
-
-
33744962383
-
Random sampling for subspace face recognition
-
X. Wang and X. Tang, Random sampling for subspace face recognition. International J. Computer Vision 70, 91 (2006).
-
(2006)
International J. Computer Vision
, vol.70
, pp. 91
-
-
Wang, X.1
Tang, X.2
-
213
-
-
84891495559
-
A comparative study of breast mass classification based on spherical wavelet transform using ANN and KNN classifiers
-
P. Gorgel, A. Sertbas, and O. N. Ucan, A comparative study of breast mass classification based on spherical wavelet transform using ANN and KNN classifiers. International J. Electronics, Mechanical and Mechatronics Engineering 2, 79 (2011).
-
(2011)
International J. Electronics, Mechanical and Mechatronics Engineering
, vol.2
, pp. 79
-
-
Gorgel, P.1
Sertbas, A.2
Ucan, O.N.3
-
214
-
-
70349909852
-
Differentiation of benign and malignant breast lesions by mechanical imaging
-
V. Egorov, T. Kearney, S. B. Pollak, C. Rohatgi, N. Sarvazyan, S. Airapetian, S. Browning, and A. Sarvazyan, Differentiation of benign and malignant breast lesions by mechanical imaging. Breast Cancer Res. Treat. 118, 67 (2009).
-
(2009)
Breast Cancer Res. Treat.
, vol.118
, pp. 67
-
-
Egorov, V.1
Kearney, T.2
Pollak, S.B.3
Rohatgi, C.4
Sarvazyan, N.5
Airapetian, S.6
Browning, S.7
Sarvazyan, A.8
|