-
2
-
-
79958043675
-
SEER Cancer Statistics Review, 1975-2011
-
Accessed: 21 Jul.
-
U.S.N.I. of Health. SEER Cancer Statistics Review, 1975-2011. http://seer.cancer.gov/archive/csr/1975_2011/. Accessed: 21 Jul 2015.
-
(2015)
-
-
-
3
-
-
34247245110
-
Recent progress in computer-aided diagnosis of lung nodules on thin-section CT
-
Li Q. Recent progress in computer-aided diagnosis of lung nodules on thin-section CT. Comput Med Imaging Graph. 2007;31(4-5):248-57.
-
(2007)
Comput Med Imaging Graph
, vol.31
, Issue.4-5
, pp. 248-257
-
-
Li, Q.1
-
4
-
-
1642580603
-
Pulmonary nodules at chest ct: effect of computer-aided diagnosis on radiologists' detection performance
-
Kazuo A, Kohei M, Akio O, Masanori K, Haruo H, Shinichi H, Yasumasa N. Pulmonary nodules at chest ct: effect of computer-aided diagnosis on radiologists' detection performance. Radiology. 2004;230:347-52.
-
(2004)
Radiology
, vol.230
, pp. 347-352
-
-
Kazuo, A.1
Kohei, M.2
Akio, O.3
Masanori, K.4
Haruo, H.5
Shinichi, H.6
Yasumasa, N.7
-
5
-
-
84878829657
-
A review of computer-aided diagnosis in thoracic and colonic imaging
-
Suzuki K. A review of computer-aided diagnosis in thoracic and colonic imaging. Quantitative Imag Med Surg. 2012;2(3):163-76.
-
(2012)
Quantitative Imag Med Surg
, vol.2
, Issue.3
, pp. 163-176
-
-
Suzuki, K.1
-
6
-
-
0033190949
-
Computerized detection of pulmonary nodules on CT scans
-
Armato SG, Gieger ML, Moran CJ, Blackburn JT, Doi K, Macmahan H. Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999;19(5):1303-11.
-
(1999)
Radiographics
, vol.19
, Issue.5
, pp. 1303-1311
-
-
Armato, S.G.1
Gieger, M.L.2
Moran, C.J.3
Blackburn, J.T.4
Doi, K.5
Macmahan, H.6
-
7
-
-
0038710369
-
Massive training artificial neural network (mtann) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography
-
Suzuki K, Armato III SG, Li F, Sone S, Doi K. Massive training artificial neural network (mtann) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Medical Physics. 2003;30(7):1602-17.
-
(2003)
Medical Physics
, vol.30
, Issue.7
, pp. 1602-1617
-
-
Suzuki, K.1
Armato, S.G.2
Li, F.3
Sone, S.4
Doi, K.5
-
8
-
-
77951647196
-
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
-
Messay T, Hardie RC, Rogers SK. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery. Med Image Anal. 2010;14(3):390-406.
-
(2010)
Med Image Anal
, vol.14
, Issue.3
, pp. 390-406
-
-
Messay, T.1
Hardie, R.C.2
Rogers, S.K.3
-
9
-
-
80053608049
-
A novel computer-aided lung nodule detection system for ct images
-
Tan M, Deklerck R, Jansen B, Bister M, Cornelis J. A novel computer-aided lung nodule detection system for ct images. Med Phys. 2011;38(10):5630-45.
-
(2011)
Med Phys
, vol.38
, Issue.10
, pp. 5630-5645
-
-
Tan, M.1
Deklerck, R.2
Jansen, B.3
Bister, M.4
Cornelis, J.5
-
10
-
-
84867731465
-
Automatic detection of lung nodules in ct datasets based on stable 3d mass-spring models
-
Cascio D, Magro R, Fauci F, Iacomi M, Raso G. Automatic detection of lung nodules in ct datasets based on stable 3d mass-spring models. Comput Biol Med. 2012;42(11):1098-109.
-
(2012)
Comput Biol Med
, vol.42
, Issue.11
, pp. 1098-1109
-
-
Cascio, D.1
Magro, R.2
Fauci, F.3
Iacomi, M.4
Raso, G.5
-
11
-
-
84878889029
-
Fast lung nodule detection in chest ct images using cylindrical nodule-enhancement filter
-
Teramoto A, Fujita H. Fast lung nodule detection in chest ct images using cylindrical nodule-enhancement filter. Int J Comp Assist Radiol Surg. 2013;8(2):193-205.
-
(2013)
Int J Comp Assist Radiol Surg
, vol.8
, Issue.2
, pp. 193-205
-
-
Teramoto, A.1
Fujita, H.2
-
12
-
-
84924738641
-
Fast and adaptive detection of pulmonary nodules in thoracic ct images using a hierarchical vector quantization scheme
-
Han H, Li L, Han F, Song B, Moore W, Liang Z. Fast and adaptive detection of pulmonary nodules in thoracic ct images using a hierarchical vector quantization scheme. IEEE J Biomed Health Inform. 2015;19(2):648-59.
-
(2015)
IEEE J Biomed Health Inform
, vol.19
, Issue.2
, pp. 648-659
-
-
Han, H.1
Li, L.2
Han, F.3
Song, B.4
Moore, W.5
Liang, Z.6
-
13
-
-
84924051480
-
Shape and texture based novel features for automated juxtapleural nodule detection in lung cts
-
Taşci E, Uğur A. Shape and texture based novel features for automated juxtapleural nodule detection in lung cts. J Med Syst 2015;39(5).
-
(2015)
J Med Syst
, vol.39
, Issue.5
-
-
Taşci, E.1
Uğur, A.2
-
14
-
-
0037372749
-
Lung cancer screening with ct: Mayo clinic experience
-
Swensen SJ, Jett JR, Hartman TE, Midthun DE, Sloan JA, Sykes A-M, Aughenbaugh GL, Clemens MA. Lung cancer screening with ct: Mayo clinic experience. Radiology. 2003;226(3):756-61.
-
(2003)
Radiology
, vol.226
, Issue.3
, pp. 756-761
-
-
Swensen, S.J.1
Jett, J.R.2
Hartman, T.E.3
Midthun, D.E.4
Sloan, J.A.5
Sykes, A.-M.6
Aughenbaugh, G.L.7
Clemens, M.A.8
-
15
-
-
25144483323
-
Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features1
-
Shah SK, McNitt-Gray MF, Rogers SR, Goldin JG, Suh RD, Sayre JW, Petkovska I, Kim HJ, Aberle DR. Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features1. Acad Radiol. 2005;12(10):1310-9.
-
(2005)
Acad Radiol
, vol.12
, Issue.10
, pp. 1310-1319
-
-
Shah, S.K.1
McNitt-Gray, M.F.2
Rogers, S.R.3
Goldin, J.G.4
Suh, R.D.5
Sayre, J.W.6
Petkovska, I.7
Kim, H.J.8
Aberle, D.R.9
-
16
-
-
67649607477
-
Computer-aided diagnosis of pulmonary nodules on ct scans: Improvement of classification performance with nodule surface features
-
Way TW, Sahiner B, Chan H-P, Hadjiiski L, Cascade PN, Chughtai A, Bogot N, Kazerooni E. Computer-aided diagnosis of pulmonary nodules on ct scans: Improvement of classification performance with nodule surface features. Med Phys. 2009;36(7):3086-98.
-
(2009)
Med Phys
, vol.36
, Issue.7
, pp. 3086-3098
-
-
Way, T.W.1
Sahiner, B.2
Chan, H.-P.3
Hadjiiski, L.4
Cascade, P.N.5
Chughtai, A.6
Bogot, N.7
Kazerooni, E.8
-
17
-
-
25144514408
-
Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose ct by use of massive training artificial neural network
-
Suzuki K, Li F, Sone S, Doi K. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose ct by use of massive training artificial neural network. IEEE Trans Med Imag. 2005;24(9):1138-50.
-
(2005)
IEEE Trans Med Imag
, vol.24
, Issue.9
, pp. 1138-1150
-
-
Suzuki, K.1
Li, F.2
Sone, S.3
Doi, K.4
-
18
-
-
77955268440
-
Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction
-
(Knowledge Discovery and Computer-Based Decision Support in Biomedicine)
-
Lee MC, Boroczky L, Sungur-Stasik K, Cann AD, Borczuk AC, Kawut SM, Powell CA. Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction. Artif Intel Med. 2010; 50(1):43-53 (Knowledge Discovery and Computer-Based Decision Support in Biomedicine)
-
(2010)
Artif Intel Med
, vol.50
, Issue.1
, pp. 43-53
-
-
Lee, M.C.1
Boroczky, L.2
Sungur-Stasik, K.3
Cann, A.D.4
Borczuk, A.C.5
Kawut, S.M.6
Powell, C.A.7
-
19
-
-
84946235133
-
Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine
-
Orozco H, Villegas O, Sánchez V, Domínguez H, Alfaro M. Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine. BioMed Eng. 2015;14(9).
-
(2015)
BioMed Eng
, vol.14
, Issue.9
-
-
Orozco, H.1
Villegas, O.2
Sánchez, V.3
Domínguez, H.4
Alfaro, M.5
-
20
-
-
77953261305
-
Cad (computed-aided detection) and cadx (computer aided diagnosis) systems in identifying and characterising lung nodules on chest ct: overview of research, developments and new prospects
-
Fraioli F, Serra G, Passariello R. Cad (computed-aided detection) and cadx (computer aided diagnosis) systems in identifying and characterising lung nodules on chest ct: overview of research, developments and new prospects. La radiologia medica. 2010;115(3):385-402.
-
(2010)
La radiologia medica
, vol.115
, Issue.3
, pp. 385-402
-
-
Fraioli, F.1
Serra, G.2
Passariello, R.3
-
21
-
-
84874587318
-
computer-aided diagnosis systems for lung cancer: challenges and methodologies
-
El-Baz A, Beache GM, Gimel'farb G, Suzuki K, Okada K, Elnakib A, Soliman A, Abdollahi B. computer-aided diagnosis systems for lung cancer: challenges and methodologies. Int J Biomed Imaging. 2013;2013:1-46.
-
(2013)
Int J Biomed Imaging
, vol.2013
, pp. 1-46
-
-
El-Baz, A.1
Beache, G.M.2
Gimel'farb, G.3
Suzuki, K.4
Okada, K.5
Elnakib, A.6
Soliman, A.7
Abdollahi, B.8
-
22
-
-
84899652536
-
Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects
-
Firmino M, Morais AH, Mendoca RM, Dantas MR, Hekis HR, Valentim R. Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects. BioMed Eng. 2014; 13(41).
-
(2014)
BioMed Eng
, vol.13
, Issue.41
-
-
Firmino, M.1
Morais, A.H.2
Mendoca, R.M.3
Dantas, M.R.4
Hekis, H.R.5
Valentim, R.6
-
23
-
-
79551672468
-
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans
-
Sg A, et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys. 2011;38(2):915-31.
-
(2011)
Med Phys
, vol.38
, Issue.2
, pp. 915-931
-
-
Sg, A.1
-
24
-
-
84954362223
-
Chapter 03-acquisition of medical image data
-
In: Bartz BP (ed.) The Morgan Kaufmann Series in Computer Graphics, Morgan Kaufmann, Burlington.
-
Preim B, Bartz D. Chapter 03-acquisition of medical image data. In: Bartz BP (ed.) Visualization in Medicine. The Morgan Kaufmann Series in Computer Graphics, Morgan Kaufmann, Burlington. 2007. p. 35-64.
-
(2007)
Visualization in Medicine
, pp. 35-64
-
-
Preim, B.1
Bartz, D.2
-
25
-
-
0003661003
-
Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science, Cambridge monographs on applied and computational mathematics
-
Cambridge: Cambridge University Press;
-
Sethian JA. Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science, Cambridge monographs on applied and computational mathematics. Cambridge: Cambridge University Press; 1999.
-
(1999)
-
-
Sethian, J.A.1
-
27
-
-
77951166786
-
Digital image processing for medical applications
-
1st ed. USA: Cambridge University Press;
-
Dougherty G. Digital image processing for medical applications. 1st ed. USA: Cambridge University Press; 2009.
-
(2009)
-
-
Dougherty, G.1
-
28
-
-
84870908566
-
Label object representation and manipulation with ITK
-
Lehmann G. Label object representation and manipulation with ITK. Insight J 2007; 08
-
(2007)
Insight J
, pp. 08
-
-
Lehmann, G.1
-
29
-
-
0026172104
-
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
-
Vincent L, Soille P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans Pat Anal Mach Intel. 1991;13(6):583-98.
-
(1991)
IEEE Trans Pat Anal Mach Intel
, vol.13
, Issue.6
, pp. 583-598
-
-
Vincent, L.1
Soille, P.2
-
30
-
-
84907263499
-
The watershed transform in itk-discussion and new developments
-
Beare R, Lehmann G. The watershed transform in itk-discussion and new developments. 2006.
-
(2006)
-
-
Beare, R.1
Lehmann, G.2
-
31
-
-
0036358588
-
Radiographic patterns in lung cancer
-
Sharma CP, Behera D, Aggarwal AN, Gupta D, Jindal SK. Radiographic patterns in lung cancer. Indian J Chest Dis Allied Sci 2002; 41(1):25-30.
-
(2002)
Indian J Chest Dis Allied Sci
, vol.41
, Issue.1
, pp. 25-30
-
-
Sharma, C.P.1
Behera, D.2
Aggarwal, A.N.3
Gupta, D.4
Jindal, S.K.5
-
32
-
-
77953357021
-
Stepwise evolution from a focal pure pulmonary ground-glass opacity nodule into an invasive lung adenocarcinoma: An observation for more than 10 years
-
Min JH, Lee HY, Lee KS, Han J, Park K, Ahn M-J, Lee S-J. Stepwise evolution from a focal pure pulmonary ground-glass opacity nodule into an invasive lung adenocarcinoma: An observation for more than 10 years. Lung Cancer. 2010;69(1):123-6.
-
(2010)
Lung Cancer
, vol.69
, Issue.1
, pp. 123-126
-
-
Min, J.H.1
Lee, H.Y.2
Lee, K.S.3
Han, J.4
Park, K.5
Ahn, M.-J.6
Lee, S.-J.7
-
33
-
-
70449454316
-
The GLCM Tutorial Home Page
-
Current Version: 2.10.
-
Hall-Beyer M. The GLCM Tutorial Home Page. Current Version: 2.10. http://www.fp.ucalgary.ca/mhallbey/tutorial.htm
-
-
-
Hall-Beyer, M.1
-
35
-
-
84903840343
-
The scikit-image contributors: scikit-image: image processing in Python
-
van der Walt S, Schönberger JL, Nunez-Iglesias J, Boulogne F, Warner JD, Yager N, Gouillart E, Yu T. The scikit-image contributors: scikit-image: image processing in Python. Peer J. 2014;2:453.
-
(2014)
Peer J
, vol.2
, pp. 453
-
-
Walt, S.1
Schönberger, J.L.2
Nunez-Iglesias, J.3
Boulogne, F.4
Warner, J.D.5
Yager, N.6
Gouillart, E.7
Yu, T.8
-
36
-
-
58149421595
-
Analysis of a complex of statistical variables into principal components
-
Hotelling H. Analysis of a complex of statistical variables into principal components. J Educ Psych. 1933;24:1-48.
-
(1933)
J Educ Psych
, vol.24
, pp. 1-48
-
-
Hotelling, H.1
-
37
-
-
80052440876
-
Directional features for automatic tumor classification of mammogram images
-
Buciu I, Gacsadi A. Directional features for automatic tumor classification of mammogram images. Biomed Signal Process Control. 2011;6(4):370-8.
-
(2011)
Biomed Signal Process Control
, vol.6
, Issue.4
, pp. 370-378
-
-
Buciu, I.1
Gacsadi, A.2
-
38
-
-
84899022480
-
Automatic choice of dimensionality for PCA
-
Minka TP. Automatic choice of dimensionality for PCA. Adv Neural Inform Process Syst. 2001;15:598-604.
-
(2001)
Adv Neural Inform Process Syst
, vol.15
, pp. 598-604
-
-
Minka, T.P.1
-
39
-
-
80555140075
-
Scikit-learn: machine learning in Python
-
Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E. Scikit-learn: machine learning in Python. J Mach Learn Res. 2011;12:2825-30.
-
(2011)
J Mach Learn Res
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
Passos, A.12
Cournapeau, D.13
Brucher, M.14
Perrot, M.15
Duchesnay, E.16
-
40
-
-
0003413187
-
Neural networks: a comprehensive foundation
-
2nd ed. Upper Saddle River: Prentice Hall PTR;
-
Haykin S. Neural networks: a comprehensive foundation. 2nd ed. Upper Saddle River: Prentice Hall PTR; 1998.
-
(1998)
-
-
Haykin, S.1
-
41
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V. Support-vector networks. Mach Learn. 1995;20(3):273-97.
-
(1995)
Mach Learn
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
42
-
-
36148956597
-
The lung image database consortium (lidc) data collection process for nodule detection and annotation
-
McNitt-Gray MF, et al. The lung image database consortium (lidc) data collection process for nodule detection and annotation. Acad Radiol. 2007;14(12):1464-74.
-
(2007)
Acad Radiol
, vol.14
, Issue.12
, pp. 1464-1474
-
-
McNitt-Gray, M.F.1
-
43
-
-
0003873913
-
The Visualization Toolkit
-
4th ed. Clifton Park: Kitware Inc;
-
Schroeder W, Martin KM, Lorensen WE. The Visualization Toolkit. 4th ed. Clifton Park: Kitware Inc; 2006.
-
(2006)
-
-
Schroeder, W.1
Martin, K.M.2
Lorensen, W.E.3
-
44
-
-
0003250435
-
Single-layer learning revisited: a stepwise procedure for building and training a neural network
-
In: Soulie F, Hérault J, editors. NATO ASI SeriesBerlin Heidelberg: Springer;
-
Knerr S, Personnaz L, Dreyfus G. Single-layer learning revisited: a stepwise procedure for building and training a neural network. In: Soulie F, Hérault J, editors. Neurocomputing, vol. 68., NATO ASI SeriesBerlin Heidelberg: Springer; 1990. p. 41-50.
-
(1990)
Neurocomputing
, vol.68
, pp. 41-50
-
-
Knerr, S.1
Personnaz, L.2
Dreyfus, G.3
-
45
-
-
0003684449
-
The elements of statistical learning data mining, inference, and prediction
-
2nd ed. Stanford: Springer;
-
Hastie T, Tibshirani R, Friedman J. The elements of statistical learning data mining, inference, and prediction. 2nd ed. Stanford: Springer; 2008.
-
(2008)
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
46
-
-
10044283198
-
The Optimality of Naive Bayes
-
In: Barr V, Markov Z, editors. Miami Beach, Florida: AAAI Press;
-
Zhang H. The Optimality of Naive Bayes. In: Barr V, Markov Z, editors. FLAIRS Conference. Miami Beach, Florida: AAAI Press; 2004.
-
(2004)
FLAIRS Conference
-
-
Zhang, H.1
-
47
-
-
0036851688
-
Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system
-
Gurcan MN, Sahiner B, Petrick N, Chan HP, Kazerooni EA, Cascade PN, Hadjiiski L. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med Phys. 2002;28:2552-8.
-
(2002)
Med Phys
, vol.28
, pp. 2552-2558
-
-
Gurcan, M.N.1
Sahiner, B.2
Petrick, N.3
Chan, H.P.4
Kazerooni, E.A.5
Cascade, P.N.6
Hadjiiski, L.7
-
48
-
-
33645886615
-
Pulmonary nodule detection in CT images with quantized convergence index filter
-
(Special Issue on The Second International Workshop on Biomedical Image Registration (WBIR'03))
-
Matsumoto S, Kundel HL, Gee JC, Gefter WB, Hatabu H. Pulmonary nodule detection in CT images with quantized convergence index filter. Med Image Anal. 2006;10(3):343-352. (Special Issue on The Second International Workshop on Biomedical Image Registration (WBIR'03))
-
(2006)
Med Image Anal
, vol.10
, Issue.3
, pp. 343-352
-
-
Matsumoto, S.1
Kundel, H.L.2
Gee, J.C.3
Gefter, W.B.4
Hatabu, H.5
|