-
1
-
-
13444294237
-
Mammographic screening: No longer controversial
-
Cady, B. & Chung, M. Mammographic screening: no longer controversial. American Journal of Clin Oncol 28(1), 1-4 (2005).
-
(2005)
American Journal of Clin Oncol
, vol.28
, Issue.1
, pp. 1-4
-
-
Cady, B.1
Chung, M.2
-
3
-
-
0037464536
-
Clinical Practice: Mammographic screening for breast cancer
-
Fletcher, S. W. & Elmore, J. G. Clinical Practice: mammographic screening for breast cancer. New Engl J Med 348(17), 1672-1680 (2003).
-
(2003)
New Engl J Med
, vol.348
, Issue.17
, pp. 1672-1680
-
-
Fletcher, S.W.1
Elmore, J.G.2
-
4
-
-
0034125106
-
The diagnosis and management of ductal carcinoma in situ of the breast
-
Winchester, D. P., Jeske, J. M. & Goldschmidt, R. A. The diagnosis and management of ductal carcinoma in situ of the breast. Am Cancer J Clin 50(3), 184 (2000).
-
(2000)
Am Cancer J Clin
, vol.50
, Issue.3
, pp. 184
-
-
Winchester, D.P.1
Jeske, J.M.2
Goldschmidt, R.A.3
-
5
-
-
84974640208
-
Breast cancer: Early detection
-
Schreer, I. & Luttges, J. Breast cancer: early detection. Eur J Radiol 11 (Suppl 2), S307-S314 (2001).
-
(2001)
Eur J Radiol
, vol.11
, pp. S307-S314
-
-
Schreer, I.1
Luttges, J.2
-
6
-
-
0033874338
-
Ductal carcinoma in situ Implications for screening mammography
-
Stephen, A. & Feig, M. D. Ductal carcinoma in situ. Implications for screening mammography. Radiol Clin N Am 38(4), 653-668 (2000).
-
(2000)
Radiol Clin N Am
, vol.38
, Issue.4
, pp. 653-668
-
-
Stephen, A.1
Feig, M.D.2
-
7
-
-
1542720840
-
Mammographic criteria for determining the diagnostic value of microcalcifications in the detection of early breast cancer
-
Yunus, M., Ahmed, N. & Masroor, I. Mammographic criteria for determining the diagnostic value of microcalcifications in the detection of early breast cancer. J Pak Med Assoc 4(1), 24-29 (2004).
-
(2004)
J Pak Med Assoc
, vol.4
, Issue.1
, pp. 24-29
-
-
Yunus, M.1
Ahmed, N.2
Masroor, I.3
-
8
-
-
70350495153
-
Breast calcifications: Which are malignant
-
Muttarak, M., Kongmebho, lP. & Sukhamwang, N. Breast calcifications: which are malignant. Singap Med J 50(9), 907-914 (2009).
-
(2009)
Singap Med J
, vol.50
, Issue.9
, pp. 907-914
-
-
Muttarak, M.1
Kongmebho, J.P.2
Sukhamwang, N.3
-
9
-
-
0030982763
-
Characteristics of breast carcinomas missed by screening radiologists
-
Goergen, S. K., Evans, J. & Cohen, G. P. Characteristics of breast carcinomas missed by screening radiologists. Radiology 204(1), 131-135 (1997).
-
(1997)
Radiology
, vol.204
, Issue.1
, pp. 131-135
-
-
Goergen, S.K.1
Evans, J.2
Cohen, G.P.3
-
10
-
-
11444270994
-
Accuracy of screening mammography interpretation by characteristics of radiologists
-
Barlow, W. E., Chi, C. & Carney, P. A. Accuracy of screening mammography interpretation by characteristics of radiologists. J Natl Cancer I 96(24), 1840-1850 (2004).
-
(2004)
J Natl Cancer i
, vol.96
, Issue.24
, pp. 1840-1850
-
-
Barlow, W.E.1
Chi, C.2
Carney, P.A.3
-
11
-
-
33749484746
-
Breast carcinomas: Why are they missed
-
Muttarak, M., Pojchamarnwiputh, S. & Chaiwan, B. Breast carcinomas: why are they missed. Singap Med J 47(8), 851-857 (2006).
-
(2006)
Singap Med J
, vol.47
, Issue.8
, pp. 851-857
-
-
Muttarak, M.1
Pojchamarnwiputh, S.2
Chaiwan, B.3
-
13
-
-
0005482571
-
Potential contribution of computer-aided detection to the sensitivity of screening mammography
-
Burhene, L. J. W., Wood, S. A. & D'Orsi, C. J. Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology 215(2), 554-562 (2000).
-
(2000)
Radiology
, vol.215
, Issue.2
, pp. 554-562
-
-
Burhene, L.J.W.1
Wood, S.A.2
D'Orsi, C.J.3
-
14
-
-
29944438579
-
Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications
-
Jiang, Y., Nishikawa, R. M., Schmidt, R. A. & Metz, C. E. Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol 13(1), 84-94 (2006).
-
(2006)
Acad Radiol
, vol.13
, Issue.1
, pp. 84-94
-
-
Jiang, Y.1
Nishikawa, R.M.2
Schmidt, R.A.3
Metz, C.E.4
-
15
-
-
33745045657
-
CAD for mammography:The technique,results,current role and further developments
-
Malich, A., Fischer, D. R. & B(o)ttcher, J. CAD for mammography:the technique,results,current role and further developments. Eur Radiol 16(7), 1449-1460 (2006).
-
(2006)
Eur Radiol
, vol.16
, Issue.7
, pp. 1449-1460
-
-
Malich, A.1
Fischer, D.R.2
Bottcher, J.3
-
16
-
-
84900326685
-
Diagnosis of breast masses from dynamic contrast-enhanced and diffusionweighted MR: A machine learning approach
-
Cai, H. M., Peng, Y. X., Ou, C. W., Chen, M. S. & Li, L. Diagnosis of breast masses from dynamic contrast-enhanced and diffusionweighted MR: a machine learning approach. PLoS One 9(1), e87387 (2014).
-
(2014)
PLoS One
, vol.9
, Issue.1
, pp. e87387
-
-
Cai, H.M.1
Peng, Y.X.2
Ou, C.W.3
Chen, M.S.4
Li, L.5
-
17
-
-
84925408177
-
A comparison between different prediction models for invasive breast cancer occurrence in the French E3N cohort
-
Dartois, L. et al. A comparison between different prediction models for invasive breast cancer occurrence in the French E3N cohort. Breast Cancer Res Tr 150(2), 415-426 (2015).
-
(2015)
Breast Cancer Res Tr
, vol.150
, Issue.2
, pp. 415-426
-
-
Dartois, L.1
-
18
-
-
70349566412
-
Statistical analysis of mammographic features and its classification using support vector machine
-
Krishnan, M. et al. Statistical analysis of mammographic features and its classification using support vector machine. Expert Systems with Applications 37(1), 470-478 (2010).
-
(2010)
Expert Systems with Applications
, vol.37
, Issue.1
, pp. 470-478
-
-
Krishnan, M.1
-
19
-
-
79952757441
-
Automatic detection of breast cancers in mammograms using structured support vector machines
-
Wang, D., Shi, L. & Heng, P. A. Automatic detection of breast cancers in mammograms using structured support vector machines. Neurocomputing 72(13), 3296-3302 (2009).
-
(2009)
Neurocomputing
, vol.72
, Issue.13
, pp. 3296-3302
-
-
Wang, D.1
Shi, L.2
Heng, P.A.3
-
20
-
-
56349089940
-
Support vector machines combined with feature selection for breast cancer diagnosis
-
Akay, M. F. Support vector machines combined with feature selection for breast cancer diagnosis. Expert systems with applications 36(2), 3240-3247 (2009).
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.2
, pp. 3240-3247
-
-
Akay, M.F.1
-
21
-
-
84899766031
-
A data mining method for breast cancer identification based on a selection of variables
-
Holsbach, N., Fogliatto, F. S. & Anzanello, M. J. A data mining method for breast cancer identification based on a selection of variables. Ciência & Saúde Coletiva 19(4), 1295-1304 (2014).
-
(2014)
Ciência & Saúde Coletiva
, vol.19
, Issue.4
, pp. 1295-1304
-
-
Holsbach, N.1
Fogliatto, F.S.2
Anzanello, M.J.3
-
22
-
-
33846014233
-
A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis
-
Sahan, S., Polat, K., Kodaz, H. & Güne?, S. A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis. Comput BiolMed 37(3), 415-423 (2007).
-
(2007)
Comput BiolMed
, vol.37
, Issue.3
, pp. 415-423
-
-
Sahan, S.1
Polat, K.2
Kodaz, H.3
Güne, S.4
-
23
-
-
84912103556
-
Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection
-
Pérez, N. et al. Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection. Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on. IEEE.209-217 (2014).
-
(2014)
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on IEEE
, pp. 209-217
-
-
Pérez, N.1
-
24
-
-
84878404694
-
Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis
-
Pérez, N., Guevara, M. A. & Silva, A. Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis. SPIE medical imaging. 867022-867022 (2013).
-
(2013)
SPIE Medical Imaging
, pp. 867022
-
-
Pérez, N.1
Guevara, M.A.2
Silva, A.3
-
26
-
-
84936878573
-
Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream
-
Güçlü, U. & Gerven, A. J. Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream. J Neurosci 35(27), 10005-10014 (2015).
-
(2015)
J Neurosci
, vol.35
, Issue.27
, pp. 10005-10014
-
-
Güçlü, U.1
Gerven, A.J.2
-
27
-
-
84938888109
-
Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning
-
Alipanahi, B., Delong, A., Weirauch, M. T. & Frey, B. J. Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning. Nat Biotechnol 33(8), 831-838 (2015).
-
(2015)
Nat Biotechnol
, vol.33
, Issue.8
, pp. 831-838
-
-
Alipanahi, B.1
Delong, A.2
Weirauch, M.T.3
Frey, B.J.4
-
28
-
-
84911403786
-
Automatic vaginal bacteria segmentation and classification based on superpixel and deep learning
-
Song, Y. Y. et al. Automatic vaginal bacteria segmentation and classification based on superpixel and deep learning. J Med Imag Health In 4(5), 781-786 (2014).
-
(2014)
J Med Imag Health in
, vol.4
, Issue.5
, pp. 781-786
-
-
Song, Y.Y.1
-
29
-
-
84855576467
-
Characterizing the clustered microcalcifications on mammograms to predict the pathological classification and grading: A mathematical modeling approach
-
Shao, Y. Z. et al. Characterizing the clustered microcalcifications on mammograms to predict the pathological classification and grading: A mathematical modeling approach. Journal of digital imaging 24(5), 764-771 (2011).
-
(2011)
Journal of Digital Imaging
, vol.24
, Issue.5
, pp. 764-771
-
-
Shao, Y.Z.1
-
30
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Hinton, G. E. & Salakhutdinov, R. R. Reducing the dimensionality of data with neural networks. Science 313(5786), 504-507 (2006).
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
31
-
-
85006505269
-
Deep convolutional neural networks for Computer-Aided Detection: CNN architectures dataset characteristics and transfer learning
-
Shin, H. C. et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE T on Medical Imaging 99, 11 (2016).
-
(2016)
IEEE T on Medical Imaging
, vol.99
, pp. 11
-
-
Shin, H.C.1
-
32
-
-
84923814844
-
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
-
Suk, H. I. et al. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis. Brain Structure and Function 220(2), 841-859 (2015).
-
(2015)
Brain Structure and Function
, vol.220
, Issue.2
, pp. 841-859
-
-
Suk, H.I.1
-
33
-
-
84907019192
-
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
-
Suk, H. I. et al. Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. NeuroImage 101, 569-582 (2014).
-
(2014)
NeuroImage
, vol.101
, pp. 569-582
-
-
Suk, H.I.1
-
34
-
-
84955570567
-
Representation learning for mammography mass lesion classification with convolutional neural networks
-
Arevalo, J., González, F. A. & Ramos-Pollán, R. Representation learning for mammography mass lesion classification with convolutional neural networks. Computer Methods and Programs in Biomedicine 127, 248-257 (2016).
-
(2016)
Computer Methods and Programs in Biomedicine
, vol.127
, pp. 248-257
-
-
Arevalo, J.1
González, F.A.2
Ramos-Pollán, R.3
-
35
-
-
84903998168
-
-
Breast Imaging Springer International Publishing
-
Petersen, K., Nielsen, M. & Diao, P. Breast tissue segmentation and mammographic risk scoring using deep learning. Breast Imaging. Springer International Publishing 2014, 88-94 (2014).
-
(2014)
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning
, vol.2014
, pp. 88-94
-
-
Petersen, K.1
Nielsen, M.2
Diao, P.3
-
36
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
Collobert, R. & Weston, J. A unified architecture for natural language processing: Deep neural networks with multitask learning In Proc. 25th ICML 160-167 (2008).
-
(2008)
Proc 25th ICML
, pp. 160-167
-
-
Collobert, R.1
Weston, J.2
-
38
-
-
84879853539
-
Stacked autoencoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data
-
Shin, H. C., Orton, M. R., Collins, D. J., Doran, S. J. & Leach, M. O. Stacked autoencoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data. IEEE T Pattern Anal 35(8), 1930-1943 (2013).
-
(2013)
IEEE T Pattern Anal
, vol.35
, Issue.8
, pp. 1930-1943
-
-
Shin, H.C.1
Orton, M.R.2
Collins, D.J.3
Doran, S.J.4
Leach, M.O.5
-
39
-
-
84939231326
-
Single sample face recognition via learning deep supervised auto-Encoders
-
Gao, S. H., Zhang, Y., Jia, K., Lu, J. & Zhang, Y. Single sample face recognition via learning deep supervised auto-Encoders. IEEE T Inf Foren Sec 10(10), 2108-2118 (2015).
-
(2015)
IEEE T Inf Foren Sec
, vol.10
, Issue.10
, pp. 2108-2118
-
-
Gao, S.H.1
Zhang, Y.2
Jia, K.3
Lu, J.4
Zhang, Y.5
-
41
-
-
84923943411
-
Improving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
-
Pérez, N. P. et al. Improving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography. Artificial intelligence in medicine 63(1), 19-31 (2015).
-
(2015)
Artificial Intelligence in Medicine
, vol.63
, Issue.1
, pp. 19-31
-
-
Pérez, N.P.1
-
42
-
-
15944386717
-
Impact of breast density on computer-aided detection for breast cancer
-
Brem, R. F. et al. Impact of breast density on computer-aided detection for breast cancer. AJR Am J Roentgenol 184(2), 439-444 (2005).
-
(2005)
AJR Am J Roentgenol
, vol.184
, Issue.2
, pp. 439-444
-
-
Brem, R.F.1
-
43
-
-
0035195332
-
Tumor detection rate of a new commercially available computer-aided detection system
-
Malich, A. et al. Tumor detection rate of a new commercially available computer-aided detection system. Eur Radiol 12(10), 2454-2459 (2001).
-
(2001)
Eur Radiol
, vol.12
, Issue.10
, pp. 2454-2459
-
-
Malich, A.1
-
44
-
-
33748203640
-
Computerized analysis of tissue density effect on missed cancer detection in digital mammography
-
Li, L. H., Wu, Z. B. & Salem, A. F. Computerized analysis of tissue density effect on missed cancer detection in digital mammography. Comput Med Imag Grap 30(5), 291-297 (2006).
-
(2006)
Comput Med Imag Grap
, vol.30
, Issue.5
, pp. 291-297
-
-
Li, L.H.1
Wu, Z.B.2
Salem, A.F.3
-
45
-
-
48149108772
-
Fast fractal coding method for the detection of microcalcification in mammograms
-
Sankar, D. & Thomas, T. Fast fractal coding method for the detection of microcalcification in mammograms. Piscataway, NJ, IEEE 368-373 (2008).
-
(2008)
Piscataway NJ IEEE
, pp. 368-373
-
-
Sankar, D.1
Thomas, T.2
-
46
-
-
0033624996
-
CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films
-
Yu, S. & Guan, L. A. CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films. IEEE T Med Imaging 19(2), 115-126 (2000).
-
(2000)
IEEE T Med Imaging
, vol.19
, Issue.2
, pp. 115-126
-
-
Yu, S.1
Guan, L.A.2
-
47
-
-
33845339237
-
A genetic algorithm design for microcalcification detection and classification in digital mammograms
-
Jiang, J., Yao, B. & Wason, A. M. A genetic algorithm design for microcalcification detection and classification in digital mammograms. Comput Medical Imag Grap 31(1), 49-61 (2007).
-
(2007)
Comput Medical Imag Grap
, vol.31
, Issue.1
, pp. 49-61
-
-
Jiang, J.1
Yao, B.2
Wason, A.M.3
-
48
-
-
0345275908
-
Mammographic predictors of the presence and size of invasive carcinomasassociated with malignant microcalcification lesion without a mass
-
Stomper, P. C., Geradts, J. & Edge, S. B. Mammographic predictors of the presence and size of invasive carcinomasassociated with malignant microcalcification lesion without a mass. AJR Am J Roentgenol 181(6), 1679-1684 (2003).
-
(2003)
AJR Am J Roentgenol
, vol.181
, Issue.6
, pp. 1679-1684
-
-
Stomper, P.C.1
Geradts, J.2
Edge, S.B.3
-
49
-
-
0018951666
-
Intramammary calcifications without an associated mass in benign and malignant diseases
-
Egan, R. L., McSweeney, M. B. & Sewell, C. W. Intramammary calcifications without an associated mass in benign and malignant diseases. Radiology 137(1), 1-7 (1980).
-
(1980)
Radiology
, vol.137
, Issue.1
, pp. 1-7
-
-
Egan, R.L.1
McSweeney, M.B.2
Sewell, C.W.3
-
50
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
Bengio, Y., Lamblin, P., Popovici, D. & Larochelle, H. Greedy layer-wise training of deep networks. Advances in neural information processing systems 19, 153-160 (2007).
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 153-160
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
54
-
-
84878398857
-
Training deep nets with imbalanced and unlabeled data
-
Berry, J. et al. Training deep nets with imbalanced and unlabeled data. Interspeech 1756-1759 (2012).
-
(2012)
Interspeech
, pp. 1756-1759
-
-
Berry, J.1
|