-
1
-
-
56749181253
-
Anniversary paper: History and status of cad and quantitative image analysis: The role of medical physics and aapm
-
GigerM, Chan H, Boone J. 2008. Anniversary paper: History and status of CAD and quantitative image analysis: The role of medical physics and AAPM. Med. Phys. 35:5799-820
-
(2008)
Med. Phys
, vol.35
, pp. 5799-5820
-
-
Giger, M.1
Chan, H.2
Boone, J.3
-
2
-
-
66449127098
-
CADx of mammographic masses and clustered microcalcifications: A review
-
Elter M, Horsch A. 2009. CADx of mammographic masses and clustered microcalcifications: A review. Med. Phys. 36:2052-68
-
(2009)
Med. Phys
, vol.36
, pp. 2052-2068
-
-
Elter, M.1
Horsch, A.2
-
4
-
-
0030956370
-
Thickness-equalization processing for mammographic images
-
Byng JW, Critten JP, Yaffe MJ. 1997. Thickness-equalization processing for mammographic images. Radiology 203:564-68
-
(1997)
Radiology
, vol.203
, pp. 564-568
-
-
Byng, J.W.1
Critten, J.P.2
Yaffe, M.J.3
-
5
-
-
3142729244
-
Thickness correction ofmammographic images bymeans of a global parameter model of the compressed breast
-
Snoeren PR, Karssemeijer N. 2004. Thickness correction ofmammographic images bymeans of a global parameter model of the compressed breast. IEEE Trans. Med. Imaging 23:799-806
-
(2004)
IEEE Trans Med. Imaging
, vol.23
, pp. 799-806
-
-
Snoeren, P.R.1
Karssemeijer, N.2
-
6
-
-
84864458299
-
Effect of compression paddle tilt correction on volumetric breast density estimation
-
KallenbergM, van Gils C, LokateM, den Heeten G, Karssemeijer N. 2012. Effect of compression paddle tilt correction on volumetric breast density estimation. Phys. Med. Biol. 57:5155-68
-
(2012)
Phys. Med. Biol
, vol.57
, pp. 5155-5168
-
-
Kallenberg, M.1
Van Gils, C.2
Lokate, M.3
Den Heeten, G.4
Karssemeijer, N.5
-
8
-
-
72049121164
-
Single X-ray absorptiometrymethod for the quantitative mammographic measure of fibroglandular tissue volume
-
Malkov S, Wang J, KerlikowskeK,Cummings S, Shepherd J. 2009. Single X-ray absorptiometrymethod for the quantitative mammographic measure of fibroglandular tissue volume. Med. Phys. 36:5525-36
-
(2009)
Med. Phys
, vol.36
, pp. 5525-5536
-
-
Malkov, S.1
Wang, J.2
Kerlikowske, K.3
Cummings, S.4
Shepherd, J.5
-
9
-
-
77952391417
-
Validation of a method for measuring the volumetric breast density from digital mammograms
-
Alonzo-Proulx O, Packard N, Boone JM, Al-Mayah A, Brock KK, et al. 2010. Validation of a method for measuring the volumetric breast density from digital mammograms. Phys. Med. Biol. 55:3027-44
-
(2010)
Phys. Med. Biol
, vol.55
, pp. 3027-3044
-
-
Alonzo-Proulx, O.1
Packard, N.2
Boone, J.M.3
Al-Mayah, A.4
Brock, K.K.5
-
10
-
-
33644610993
-
Volumetric breast density estimation from full-field digital mammograms
-
van Engeland S, Snoeren PR, Huisman H, Boetes C, Karssemeijer N. 2006. Volumetric breast density estimation from full-field digital mammograms. IEEE Trans. Med. Imaging 25:273-82
-
(2006)
IEEE Trans Med. Imaging
, vol.25
, pp. 273-282
-
-
Van Engeland, S.1
Snoeren, P.R.2
Huisman, H.3
Boetes, C.4
Karssemeijer, N.5
-
11
-
-
0017082939
-
Risk for breast cancer development determined bymammographic parenchymal pattern
-
Wolfe JN. 1976. Risk for breast cancer development determined bymammographic parenchymal pattern. Cancer 37:2486-92
-
(1976)
Cancer
, vol.37
, pp. 2486-2492
-
-
Wolfe, J.N.1
-
12
-
-
0031060766
-
The tabár classification of mammographic parenchymal patterns
-
Gram IT, Funkhouser E, Tabár L. 1997. The Tabár classification of mammographic parenchymal patterns. Eur. J. Radiol. 24:131-36
-
(1997)
Eur. J. Radiol
, vol.24
, pp. 131-136
-
-
Gram, I.T.1
Funkhouser, E.2
Tabár, L.3
-
13
-
-
0036830333
-
Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers
-
Huo Z, Giger M, Olopade O, Wolverton D, Weber B, et al. 2002. Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology 225:519-26
-
(2002)
Radiology
, vol.225
, pp. 519-526
-
-
Huo, Z.1
Giger, M.2
Olopade, O.3
Wolverton, D.4
Weber, B.5
-
14
-
-
79959572211
-
Association of computerized mammographic parenchymal pattern measure with breast cancer risk: A pilot case-control study
-
Wei J, Chan H, Wu Y, Zhou C, Helvie M, et al. 2011. Association of computerized mammographic parenchymal pattern measure with breast cancer risk: A pilot case-control study. Radiology 260:42-49
-
(2011)
Radiology
, vol.260
, pp. 42-49
-
-
Wei, J.1
Chan, H.2
Wu, Y.3
Zhou, C.4
Helvie, M.5
-
15
-
-
34047275404
-
Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment
-
Li H, Giger M, Olopade O, Lan L. 2007. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad. Radiol. 14:513-21
-
(2007)
Acad. Radiol
, vol.14
, pp. 513-521
-
-
Li, H.1
Giger, M.2
Olopade, O.3
Lan, L.4
-
16
-
-
64549104287
-
Texture features frommammographic images and risk of breast cancer
-
Manduca A, Carston M, Heine J, Scott C, Pankratz V, et al. 2009. Texture features frommammographic images and risk of breast cancer. Cancer Epidemiol. Biomark. Prev. 18:837-45
-
(2009)
Cancer Epidemiol. Biomark. Prev
, vol.18
, pp. 837-845
-
-
Manduca, A.1
Carston, M.2
Heine, J.3
Scott, C.4
Pankratz, V.5
-
17
-
-
79960572789
-
A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer
-
NielsenM, KaremoreG, Loog M, Raundahl J, Karssemeijer N, et al. 2011. A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer. Cancer Epidemiol. 35:381-87
-
(2011)
Cancer Epidemiol
, vol.35
, pp. 381-387
-
-
Nielsen, M.1
Karemore, G.2
Loog, M.3
Raundahl, J.4
Karssemeijer, N.5
-
18
-
-
79551668784
-
Detection of clustered microcalcifications using spatial point process modeling
-
Jing H, Yang Y, Nishikawa R. 2011. Detection of clustered microcalcifications using spatial point process modeling. Phys. Med. Biol. 56:1-17
-
(2011)
Phys. Med. Biol
, vol.56
, pp. 1-17
-
-
Jing, H.1
Yang, Y.2
Nishikawa, R.3
-
19
-
-
0030062375
-
Malignant and benign clustered microcalcifications: Automated feature analysis and classification
-
JiangY,NishikawaRM,WolvertonDE, Metz CE,GigerML,et al. 1996. Malignant and benign clustered microcalcifications: Automated feature analysis and classification. Radiology 198:671-78
-
(1996)
Radiology
, vol.198
, pp. 671-678
-
-
Jiang, Y.1
Nishikawa, R.M.2
Wolverton, D.E.3
Metz, C.E.4
Giger, M.L.5
-
20
-
-
0033694673
-
Automated classification of clustered microcalcifications into malignant and benign types
-
Veldkamp WJ, Karssemeijer N, Otten JD, Hendriks JH. 2000. Automated classification of clustered microcalcifications into malignant and benign types. Med. Phys. 27:2600-8
-
(2000)
Med. Phys
, vol.27
, pp. 2600-2608
-
-
Veldkamp, W.J.1
Karssemeijer, N.2
Otten, J.D.3
Hendriks, J.H.4
-
21
-
-
75749149659
-
A review of automatic mass detection and segmentation in mammographic images
-
Oliver A, Freixenet J, Martí J, Pérez E, Pont J, et al. 2010. A review of automatic mass detection and segmentation in mammographic images. Med. Image Anal. 14:87-110
-
(2010)
Med. Image Anal
, vol.14
, pp. 87-110
-
-
Oliver, A.1
Freixenet, J.2
Martí, J.3
Pérez, E.4
Pont, J.5
-
22
-
-
76849089516
-
Segmentation of regions of interest in mammograms in a topographic approach
-
Hong B, Sohn B. 2010. Segmentation of regions of interest in mammograms in a topographic approach. IEEE Trans. Inf. Technol. Biomed. 14:129-39
-
(2010)
IEEE Trans Inf. Technol. Biomed
, vol.14
, pp. 129-139
-
-
Hong, B.1
Sohn, B.2
-
23
-
-
84859435824
-
A probabilistic framework for image information fusion with an application to mammographic analysis
-
Velikova M, Lucas PJF, Samulski M, Karssemeijer N. 2012. A probabilistic framework for image information fusion with an application to mammographic analysis. Med. Image Anal. 16:865-75
-
(2012)
Med. Image Anal
, vol.16
, pp. 865-875
-
-
Velikova, M.1
Lucas, P.J.F.2
Samulski, M.3
Karssemeijer, N.4
-
24
-
-
0036174154
-
Improvement of computerized mass detection on mammograms: Fusion of two-view information
-
Paquerault S, Petrick N, Chan H, Sahiner B, Helvie M. 2002. Improvement of computerized mass detection on mammograms: Fusion of two-view information. Med. Phys. 29:238-47
-
(2002)
Med. Phys
, vol.29
, pp. 238-247
-
-
Paquerault, S.1
Petrick, N.2
Chan, H.3
Sahiner, B.4
Helvie, M.5
-
25
-
-
33847677137
-
Combining two mammographic projections in a computer aided mass detection method
-
van Engeland S, Karssemeijer N. 2007. Combining two mammographic projections in a computer aided mass detection method. Med. Phys. 34:898-905
-
(2007)
Med. Phys
, vol.34
, pp. 898-905
-
-
Van Engeland, S.1
Karssemeijer, N.2
-
26
-
-
70349656515
-
Computer-Aided detection of breast masses on mammograms: Dual system approach with two-view analysis
-
Wei J, Chan H-P, Sahiner B, Zhou C, Hadjiiski LM, et al. 2009. Computer-Aided detection of breast masses on mammograms: Dual system approach with two-view analysis. Med. Phys. 36:4451-60
-
(2009)
Med. Phys
, vol.36
, pp. 4451-4460
-
-
Wei, J.1
Chan, H.-P.2
Sahiner, B.3
Zhou, C.4
Hadjiiski, L.M.5
-
27
-
-
33748300896
-
Multiview-based computer-Aided detection scheme for breast masses
-
Zheng B, Leader J, Abrams G, Lu A,Wallace L, et al. 2006. Multiview-based computer-Aided detection scheme for breast masses. Med. Phys. 33:3135-43
-
(2006)
Med. Phys
, vol.33
, pp. 3135-3143
-
-
Zheng, B.1
Leader, J.2
Abrams, G.3
Lu, A.4
Wallace, L.5
-
28
-
-
79953745900
-
Optimizing case-based detection performance in a multiview CAD system for mammography
-
Samulski M, Karssemeijer N. 2011. Optimizing case-based detection performance in a multiview CAD system for mammography. IEEE Trans. Med. Imaging 30:1001-9
-
(2011)
IEEE Trans. Med. Imaging
, vol.30
, pp. 1001-1009
-
-
Samulski, M.1
Karssemeijer, N.2
-
29
-
-
79953673069
-
Computer-Aided detection of breast masses: Four-view strategy for screening mammography
-
Wei J, Chan H, Zhou C, Wu Y, Sahiner B, et al. 2011. Computer-Aided detection of breast masses: Four-view strategy for screening mammography. Med. Phys. 38:1867-76
-
(2011)
Med. Phys
, vol.38
, pp. 1867-1876
-
-
Wei, J.1
Chan, H.2
Zhou, C.3
Wu, Y.4
Sahiner, B.5
-
30
-
-
20744443342
-
A registration framework for the comparison of mammogram sequences
-
Marias K, Behrenbruch C, Parbhoo S, Seifalian A, Brady M. 2005. A registration framework for the comparison of mammogram sequences. IEEE Trans. Med. Imaging 24:782-90
-
(2005)
IEEE Trans Med. Imaging
, vol.24
, pp. 782-790
-
-
Marias, K.1
Behrenbruch, C.2
Parbhoo, S.3
Seifalian, A.4
Brady, M.5
-
31
-
-
0034971403
-
Automated registration of breast lesions in temporal pairs of mammograms for interval change analysis-local affine transformation for improved localization
-
Hadjiiski L, Chan HP, Sahiner B, Petrick N, Helvie MA. 2001. Automated registration of breast lesions in temporal pairs of mammograms for interval change analysis-local affine transformation for improved localization. Med. Phys. 28:1070-79
-
(2001)
Med. Phys
, vol.28
, pp. 1070-1079
-
-
Hadjiiski, L.1
Chan, H.P.2
Sahiner, B.3
Petrick, N.4
Helvie, M.A.5
-
32
-
-
0033453988
-
A regional registration technique for automated interval change analysis of breast lesions on mammograms
-
Sanjay-Gopal S, Chan HP, Wilson T, Helvie M, Petrick N, Sahiner B. 1999. A regional registration technique for automated interval change analysis of breast lesions on mammograms. Med. Phys. 26:2669-79
-
(1999)
Med. Phys
, vol.26
, pp. 2669-2679
-
-
Sanjay-Gopal, S.1
Chan, H.P.2
Wilson, T.3
Helvie, M.4
Petrick, N.5
Sahiner, B.6
-
33
-
-
23944458535
-
A regional registration method to find corresponding mass lesions in temporal mammogram pairs
-
Timp S, van Engeland S, Karssemeijer N. 2005. A regional registration method to find corresponding mass lesions in temporal mammogram pairs. Med. Phys. 32:2629-38
-
(2005)
Med. Phys
, vol.32
, pp. 2629-2638
-
-
Timp, S.1
Van Engeland, S.2
Karssemeijer, N.3
-
34
-
-
14644438514
-
Comparison of similarity measures for the task of template matching of masses on serial mammograms
-
Filev P, Hadjiiski L, Sahiner B, Chan H, Helvie M. 2005. Comparison of similarity measures for the task of template matching of masses on serial mammograms. Med. Phys. 32:515-29
-
(2005)
Med. Phys
, vol.32
, pp. 515-529
-
-
Filev, P.1
Hadjiiski, L.2
Sahiner, B.3
Chan, H.4
Helvie, M.5
-
35
-
-
28744432535
-
Interval change analysis to improve computer aided detection in mammography
-
Timp S, Karssemeijer N. 2006. Interval change analysis to improve computer aided detection in mammography. Med. Image Anal. 10:82-95
-
(2006)
Med. Image Anal
, vol.10
, pp. 82-95
-
-
Timp, S.1
Karssemeijer, N.2
-
36
-
-
43549105166
-
Combined screening with ultrasound and mammography versus mammography alone in women at elevated risk of breast cancer
-
Berg W, Blume J, Cormack J, Mendelson E, Lehrer D, et al. 2008. Combined screening with ultrasound and mammography versus mammography alone in women at elevated risk of breast cancer. J. Am. Med. Assoc. 299:2151-63
-
(2008)
J. Am. Med. Assoc
, vol.299
, pp. 2151-2163
-
-
Berg, W.1
Blume, J.2
Cormack, J.3
Mendelson, E.4
Lehrer, D.5
-
37
-
-
77952312239
-
Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts
-
Kelly K, Dean J, Comulada W, Lee S. 2010. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts. Eur. Radiol. 20:734-42
-
(2010)
Eur. Radiol
, vol.20
, pp. 734-742
-
-
Kelly, K.1
Dean, J.2
Comulada, W.3
Lee, S.4
-
38
-
-
27744601340
-
Robustness of computerized lesion detection and classification scheme across different breast US platforms
-
Drukker K, Giger M, Metz C. 2005. Robustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology 237:834-40
-
(2005)
Radiology
, vol.237
, pp. 834-840
-
-
Drukker, K.1
Giger, M.2
Metz, C.3
-
39
-
-
33847208483
-
Malignant and benign breast masses on 3DUS volumetric images: Effect of computer-Aided diagnosis on radiologist accuracy
-
Sahiner B, Chan H, Roubidoux M, Hadjiiski L, Helvie M, et al. 2007. Malignant and benign breast masses on 3DUS volumetric images: Effect of computer-Aided diagnosis on radiologist accuracy. Radiology 242:716-24
-
(2007)
Radiology
, vol.242
, pp. 716-724
-
-
Sahiner, B.1
Chan, H.2
Roubidoux, M.3
Hadjiiski, L.4
Helvie, M.5
-
40
-
-
84860688845
-
Computer aided lesion diagnosis in automated 3D breast ultrasound using coronal spiculation
-
Tan T, Platel B, Huisman H, Sánchez CI, Mus R, Karssemeijer N. 2012. Computer aided lesion diagnosis in automated 3D breast ultrasound using coronal spiculation. IEEE Trans. Med. Imaging 31:1034-42
-
(2012)
IEEE Trans. Med. Imaging
, vol.31
, pp. 1034-1042
-
-
Tan, T.1
Platel, B.2
Huisman, H.3
Sánchez, C.I.4
Mus, R.5
Karssemeijer, N.6
-
41
-
-
27744556063
-
Computer-Aided detection system for breast masses on digital tomosynthesis mammograms: Preliminary experience
-
Chan H-P, Wei J, Sahiner B, Rafferty EA, Wu T, et al. 2005. Computer-Aided detection system for breast masses on digital tomosynthesis mammograms: Preliminary experience. Radiology 237:1075-80
-
(2005)
Radiology
, vol.237
, pp. 1075-1080
-
-
Chan, H.-P.1
Wei, J.2
Sahiner, B.3
Rafferty, E.A.4
Wu, T.5
-
42
-
-
31844448002
-
Computerized mass detection for digital breast tomosynthesis directly from the projection images
-
Reiser I, Nishikawa RM, Giger ML, Wu T, Rafferty EA, et al. 2006. Computerized mass detection for digital breast tomosynthesis directly from the projection images. Med. Phys. 33:482-91
-
(2006)
Med. Phys
, vol.33
, pp. 482-491
-
-
Reiser, I.1
Nishikawa, R.M.2
Giger, M.L.3
Wu, T.4
Rafferty, E.A.5
-
43
-
-
41449102812
-
Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: A preliminary study
-
Reiser I, Nishikawa RM, Edwards AV, Kopans DB, Schmidt RA, et al. 2008. Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: A preliminary study. Med. Phys. 35:1486-93
-
(2008)
Med. Phys
, vol.35
, pp. 1486-1493
-
-
Reiser, I.1
Nishikawa, R.M.2
Edwards, A.V.3
Kopans, D.B.4
Schmidt, R.A.5
-
44
-
-
84855462930
-
Computer-Aided detection of clustered microcalcifications in digital breast tomosyn thesis: A 3D approach
-
Sahiner B, Chan H, Hadjiiski L, Helvie M, Wei J, et al. 2012. Computer-Aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach. Med. Phys. 39:28-39
-
(2012)
Med Phys
, vol.39
, pp. 28-39
-
-
Sahiner, B.1
Chan, H.2
Hadjiiski, L.3
Helvie, M.4
Wei, J.5
-
45
-
-
50449109489
-
Computer-Aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches
-
Chan H-P, Wei J, Zhang Y, Helvie MA, Moore RH, et al. 2008. Computer-Aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches. Med. Phys. 35:4087-95
-
(2008)
Med Phys
, vol.35
, pp. 4087-4095
-
-
Chan, H.-P.1
Wei, J.2
Zhang, Y.3
Helvie, M.A.4
Moore, R.H.5
-
46
-
-
77954698222
-
Characterization of masses in digital breast tomosyn thesis: Comparison of machine learning in projection views and reconstructed slices
-
Chan H-P, Wu Y-T, Sahiner B, Wei J, Helvie MA, et al. 2010. Characterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices. Med. Phys. 37:3576-86
-
(2010)
Med. Phys
, vol.37
, pp. 3576-3586
-
-
Chan, H.-P.1
Wu, Y.-T.2
Sahiner, B.3
Wei, J.4
Helvie, M.A.5
-
47
-
-
65849411700
-
Variable size computer-Aided detection prompts and mammography film reader decisions
-
Gilbert FJ, Astley SM, Boggis CR, McGee MA, Griffiths PM, et al 2008. Variable size computer-Aided detection prompts and mammography film reader decisions. Breast Cancer Res. 10:R72
-
(2008)
Breast Cancer Res
, vol.10
-
-
Gilbert, F.J.1
Astley, S.M.2
Boggis, C.R.3
McGee, M.A.4
Griffiths, P.M.5
-
48
-
-
33745045657
-
CAD for mammography: The technique, results, current role and further developments
-
Malich A, Fischer DR, Böttcher J. 2006. CAD for mammography: The technique, results, current role and further developments. Eur. Radiol. 16:1449-60
-
(2006)
Eur. Radiol
, vol.16
, pp. 1449-1460
-
-
Malich, A.1
Fischer, D.R.2
Böttcher, J.3
-
49
-
-
3442876690
-
Effects of incorrect computer-Aided detection (CAD) output on human decision-making in mammography
-
Alberdi E, Povykalo A, Strigini L, Ayton P. 2004. Effects of incorrect computer-Aided detection (CAD) output on human decision-making in mammography. Acad. Radiol. 11:909-18
-
(2004)
Acad. Radiol
, vol.11
, pp. 909-918
-
-
Alberdi, E.1
Povykalo, A.2
Strigini, L.3
Ayton, P.4
-
50
-
-
21644432535
-
The manufacturer's perspective
-
Roehrig J. 2005. The manufacturer's perspective. Br. J. Radiol. 78:S41-45
-
(2005)
Br. J. Radiol
, vol.78
-
-
Roehrig, J.1
-
51
-
-
34247169972
-
Current status and future directions of computer-Aided diagnosis in mammo graphy
-
Nishikawa RM. 2007. Current status and future directions of computer-Aided diagnosis in mammo graphy. Comput. Med. Imaging Graph. 31:224-35
-
(2007)
Comput. Med. Imaging Graph
, vol.31
, pp. 224-235
-
-
Nishikawa, R.M.1
-
52
-
-
54049105738
-
Single reading with computeraided detection for screening mammography
-
Gilbert FJ, Astley SM, Gillan MGC, Agbaje OF,Wallis MG, et al. 2008. Single reading with computeraided detection for screening mammography. N. Engl. J. Med. 359:1675-84
-
(2008)
N. Engl. J. Med
, vol.359
, pp. 1675-1684
-
-
Gilbert, F.J.1
Astley, S.M.2
Gillan, M.G.C.3
Agbaje, O.F.4
Wallis, M.G.5
-
53
-
-
34047243811
-
Influence of computer-Aided detection on performance of screening mammography
-
Fenton JJ, Taplin SH, Carney PA, Abraham L, Sickles EA, et al. 2007. Influence of computer-Aided detection on performance of screening mammography. N. Engl. J. Med. 356:1399-409
-
(2007)
N. Engl. J. Med
, vol.356
, pp. 1399-1409
-
-
Fenton, J.J.1
Taplin, S.H.2
Carney, P.A.3
Abraham, L.4
Sickles, E.A.5
-
54
-
-
79961222829
-
Effectiveness of computer-Aided detection in community mammography practice
-
Fenton JJ, Abraham L, Taplin SH, Geller BM, Carney PA, et al. 2011. Effectiveness of computer-Aided detection in community mammography practice. J. Natl. Cancer Inst. 103:1152-61
-
(2011)
J. Natl. Cancer Inst
, vol.103
, pp. 1152-1161
-
-
Fenton, J.J.1
Abraham, L.2
Taplin, S.H.3
Geller, B.M.4
Carney, P.A.5
-
55
-
-
1642523563
-
Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph
-
Manning DJ, Ethell SC, Donovan T. 2004. Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph. Br. J. Radiol. 77:231-35
-
(2004)
Br. J. Radiol
, vol.77
, pp. 231-235
-
-
Manning, D.J.1
Ethell, S.C.2
Donovan, T.3
-
56
-
-
0034823175
-
Blinded review of retrospectively visible unreported breast cancers: An eye-position analysis
-
Nodine CF, Mello-Thoms C, Weinstein SP, Kundel HL, Conant EF, et al. 2001. Blinded review of retrospectively visible unreported breast cancers: An eye-position analysis. Radiology 221:122-29
-
(2001)
Radiology
, vol.221
, pp. 122-129
-
-
Nodine, C.F.1
Mello-Thoms, C.2
Weinstein, S.P.3
Kundel, H.L.4
Conant, E.F.5
-
57
-
-
20544442017
-
Effect of recall rate on earlier screen detection of breast cancers based on the Dutch performance indicators
-
Otten JDM, Karssemeijer N, Hendriks JHCL, Groenewoud JH, Fracheboud J, et al. 2005. Effect of recall rate on earlier screen detection of breast cancers based on the Dutch performance indicators. J. Natl. Cancer Inst. 97:748-54
-
(2005)
J. Natl. Cancer Inst
, vol.97
, pp. 748-754
-
-
Otten, J.D.M.1
Karssemeijer, N.2
Hendriks, J.H.C.L.3
Groenewoud, J.H.4
Fracheboud, J.5
-
59
-
-
77957871939
-
Using computer aided detection in mammography as a decision support
-
Samulski M, Hupse R, Boetes C, Mus R, den Heeten G, Karssemeijer N. 2010. Using computer aided detection in mammography as a decision support. Eur. Radiol. 20:2323-30
-
(2010)
Eur. Radiol
, vol.20
, pp. 2323-2330
-
-
Samulski, M.1
Hupse, R.2
Boetes, C.3
Mus, R.4
Den Heeten, G.5
Karssemeijer, N.6
-
60
-
-
84871681489
-
Computer-Aided detection of masses at mammography: Interactive decision support versus prompts
-
Hupse R, SamulskiM, LobbesMB, Mann RM,Mus R, et al. 2013. Computer-Aided detection of masses at mammography: Interactive decision support versus prompts. Radiology 266:123-29
-
(2013)
Radiology
, vol.266
, pp. 123-129
-
-
Hupse, R.1
Samulski, M.2
Lobbes, M.B.3
Mann, R.M.4
Mus, R.5
-
61
-
-
84873986152
-
Computed-Aided diagnosis (CAD) in the detection of breast cancer
-
Dromain C, Boyer B, Ferré R, Canale S, Delaloge S, Balleyguier C. 2013. Computed-Aided diagnosis (CAD) in the detection of breast cancer. Eur. J. Radiol. 82:417-23
-
(2013)
Eur. J. Radiol
, vol.82
, pp. 417-423
-
-
Dromain, C.1
Boyer, B.2
Ferré, R.3
Canale, S.4
Delaloge, S.5
Balleyguier, C.6
-
62
-
-
84855557868
-
A systematic review of computer-Assisted diagnosis in diagnostic cancer imaging
-
Eadie LH, Taylor P, Gibson AP. 2012. A systematic review of computer-Assisted diagnosis in diagnostic cancer imaging. Eur. J. Radiol. 81:e70-76
-
(2012)
Eur. J. Radiol
, vol.81
-
-
Eadie, L.H.1
Taylor, P.2
Gibson, A.P.3
-
63
-
-
41949108736
-
Computer aids and human second reading as interventions in screening mammography: Two systematic reviews to compare effects on cancer detection and recall rate
-
Taylor P, Potts HWW. 2008. Computer aids and human second reading as interventions in screening mammography: Two systematic reviews to compare effects on cancer detection and recall rate. Eur. J. Cancer 44:798-807
-
(2008)
Eur. J. Cancer
, vol.44
, pp. 798-807
-
-
Taylor, P.1
Potts, H.W.W.2
-
64
-
-
0032129152
-
Automated seeded lesion segmentation on digital mammograms
-
Kupinski M, Giger M. 1998. Automated seeded lesion segmentation on digital mammograms. IEEE Trans. Med. Imaging 17:510-17
-
(1998)
IEEE Trans Med. Imaging
, vol.17
, pp. 510-517
-
-
Kupinski, M.1
Giger, M.2
-
65
-
-
0034844805
-
Automatic segmentation of breast lesions on ultrasound
-
Horsch K, Giger M, Venta LA, Vyborny C. 2001. Automatic segmentation of breast lesions on ultrasound. Med. Phys. 28:1652-59
-
(2001)
Med. Phys
, vol.28
, pp. 1652-1659
-
-
Horsch, K.1
Giger, M.2
Venta, L.A.3
Vyborny, C.4
-
66
-
-
0035544613
-
Computer-Aided characterization of mammographicmasses: Accuracy of mass segmentation and its effects on characterization
-
Sahiner B, Petrick N, Chan H, Hadjiiski L, Paramagul C, et al. 2001. Computer-Aided characterization of mammographicmasses: Accuracy of mass segmentation and its effects on characterization. IEEE Trans. Med. Imaging 20:1275-84
-
(2001)
IEEE Trans Med. Imaging
, vol.20
, pp. 1275-1284
-
-
Sahiner, B.1
Petrick, N.2
Chan, H.3
Hadjiiski, L.4
Paramagul, C.5
-
67
-
-
35648984504
-
A dual-stage method for lesion segmentation on digital mammograms
-
Yuan Y, Giger M, Li H, Suzuki K, Sennett C. 2007. A dual-stage method for lesion segmentation on digital mammograms. Med. Phys. 34:4180-93
-
(2007)
Med. Phys
, vol.34
, pp. 4180-4193
-
-
Yuan, Y.1
Giger, M.2
Li, H.3
Suzuki, K.4
Sennett, C.5
-
68
-
-
29944447410
-
A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images
-
Chen W, GigerM, Bick U. 2006. A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Acad. Radiol. 13:63-72
-
(2006)
Acad. Radiol
, vol.13
, pp. 63-72
-
-
Chen, W.1
Giger, M.2
Bick, U.3
-
69
-
-
54049098747
-
Markov random field-based clustering applied to the segmentation of masses in digital mammograms
-
SuligaM, Deklerck R, Nyssen E. 2008. Markov random field-based clustering applied to the segmentation of masses in digital mammograms. Comput. Med. Imaging Graph. 32:502-12
-
(2008)
Comput. Med. Imaging Graph
, vol.32
, pp. 502-512
-
-
Suliga, M.1
Deklerck, R.2
Nyssen, E.3
-
70
-
-
70349664185
-
Malignant lesion segmentation in contrastenhanced breast MR images based on the marker-controlled watershed
-
Cui Y, Tan Y, Zhao B, Liberman L, Parbhu R, et al. 2009. Malignant lesion segmentation in contrastenhanced breast MR images based on the marker-controlled watershed. Med. Phys. 36:4359-69
-
(2009)
Med. Phys
, vol.36
, pp. 4359-4369
-
-
Cui, Y.1
Tan, Y.2
Zhao, B.3
Liberman, L.4
Parbhu, R.5
-
71
-
-
80053480560
-
A multichannel Markov random field approach for automated segmentation of breast cancer tumor in DCE-MRI data using kinetic observation model
-
Ashraf AB, Gavenonis S, Daye D, Mies C, Feldman M, et al. 2011. A multichannel Markov random field approach for automated segmentation of breast cancer tumor in DCE-MRI data using kinetic observation model. MICCAI, Lect. Notes Comp. Sci. 6893:546-53
-
(2011)
MICCAI, Lect. Notes Comp. Sci
, vol.6893
, pp. 546-553
-
-
Ashraf, A.B.1
Gavenonis, S.2
Daye, D.3
Mies, C.4
Feldman, M.5
-
72
-
-
55349095801
-
Evaluation of computer-Aided diagnosis on a large clinical full-field digital mammographic dataset
-
Li H, Giger M, Yuan Y, Chen W, Horsch K, et al. 2008. Evaluation of computer-Aided diagnosis on a large clinical full-field digital mammographic dataset. Acad. Radiol. 15:1437-45
-
(2008)
Acad. Radiol
, vol.15
, pp. 1437-1445
-
-
Li, H.1
Giger, M.2
Yuan, Y.3
Chen, W.4
Horsch, K.5
-
73
-
-
46149088285
-
Comparison of diagnostic accuracy of breast masses using digitized images versus screen-film mammography
-
Liang Z, Du X, Liu J, Yao X, Yang Y, Li K. 2008. Comparison of diagnostic accuracy of breast masses using digitized images versus screen-film mammography. Acta. Radiol. 49:618-22
-
(2008)
Acta. Radiol
, vol.49
, pp. 618-622
-
-
Liang, Z.1
Du, X.2
Liu, J.3
Yao, X.4
Yang, Y.5
Li, K.6
-
74
-
-
84864187188
-
A comparison study of image features between FFDM and film mammogram images
-
Jing H, Yang Y, Wernick MN, Yarusso LM,Nishikawa RM. 2012. A comparison study of image features between FFDM and film mammogram images. Med. Phys. 39:4386-94
-
(2012)
Med. Phys
, vol.39
, pp. 4386-4394
-
-
Jing, H.1
Yang, Y.2
Wernick, M.N.3
Yarusso, L.M.4
Nishikawa, R.M.5
-
75
-
-
0036173894
-
Computerized diagnosis of breast lesions on ultrasound
-
Horsch K, GigerM, Venta L, Vyborny C. 2002. Computerized diagnosis of breast lesions on ultrasound. Med. Phys. 29:157-64
-
(2002)
Med. Phys
, vol.29
, pp. 157-164
-
-
Horsch, K.1
Giger, M.2
Venta, L.3
Vyborny, C.4
-
76
-
-
0033659346
-
Dynamic image interpretation of MRI of the breast
-
Kuhl C, Schild H. 2000. Dynamic image interpretation of MRI of the breast. J. Magn. Reson. Imaging 12:965-74
-
(2000)
J. Magn. Reson. Imaging
, vol.12
, pp. 965-974
-
-
Kuhl, C.1
Schild, H.2
-
77
-
-
33745963117
-
Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker
-
Hylton N. 2006. Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker. J. Clin. Oncol. 24:3293-96
-
(2006)
J. Clin. Oncol
, vol.24
, pp. 3293-3296
-
-
Hylton, N.1
-
78
-
-
0028296907
-
Computerized characterization of mammographic masses: Analysis of spiculation
-
Giger M, Vyborny C, Schmidt R. 1994. Computerized characterization of mammographic masses: Analysis of spiculation. Cancer Lett. 77:201-11
-
(1994)
Cancer Lett
, vol.77
, pp. 201-211
-
-
Giger, M.1
Vyborny, C.2
Schmidt, R.3
-
79
-
-
0028857937
-
Analysis of spiculation in the computerized classification of mammographic masses
-
Huo Z, Giger M, Vyborny C, Bick U, Lu P, et al. 1995. Analysis of spiculation in the computerized classification of mammographic masses. Med. Phys. 22:1569-79
-
(1995)
Med. Phys
, vol.22
, pp. 1569-1579
-
-
Huo, Z.1
Giger, M.2
Vyborny, C.3
Bick, U.4
Lu, P.5
-
80
-
-
0034281869
-
Boundary modelling and shape analysis methods for classification of mammographic masses
-
Rangayyan RM, Mudigonda NR, Desautels JEL. 2000. Boundary modelling and shape analysis methods for classification of mammographic masses. Med. Biol. Eng. Comput. 38:487-96
-
(2000)
Med. Biol. Eng. Comput
, vol.38
, pp. 487-496
-
-
Rangayyan, R.M.1
Mudigonda, N.R.2
Desautels, J.E.L.3
-
81
-
-
32544461460
-
Use of border information in the classification of mammographic masses
-
Varela C, Timp S, Karssemeijer N. 2006. Use of border information in the classification of mammographic masses. Phys. Med. Biol. 51:425-41
-
(2006)
Phys. Med. Biol
, vol.51
, pp. 425-441
-
-
Varela, C.1
Timp, S.2
Karssemeijer, N.3
-
82
-
-
84860688845
-
Computer-Aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation
-
TanT, Platel B, HuismanH, Sanchez C, MusR,Karssemeijer N. 2012. Computer-Aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation. IEEE Trans. Med. Imaging 31:1034-39
-
(2012)
IEEE Trans. Med. Imaging
, vol.31
, pp. 1034-1039
-
-
Tan, T.1
Platel, B.2
Huisman, H.3
Sanchez, C.4
Mus, R.5
Karssemeijer, N.6
-
83
-
-
0027851280
-
Improving the distinction between benign andmalignant breast lesions: The value of sonographic texture analysis
-
Garra BS, Krasner BH, Horii SC, Ascher S, Mun SK, Zeman RK. 1993. Improving the distinction between benign andmalignant breast lesions: The value of sonographic texture analysis. Ultrason. Imaging 15:267-85
-
(1993)
Ultrason. Imaging
, vol.15
, pp. 267-285
-
-
Garra, B.S.1
Krasner, B.H.2
Horii, S.C.3
Ascher, S.4
Mun, S.K.5
Zeman, R.K.6
-
84
-
-
36348986747
-
Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images
-
Chen W, Giger M, Li H, Bick U, Newstead G. 2007. Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn. Reson. Med. 58:562-71
-
(2007)
Magn. Reson. Med
, vol.58
, pp. 562-571
-
-
Chen, W.1
Giger, M.2
Li, H.3
Bick, U.4
Newstead, G.5
-
85
-
-
73049084075
-
Characterization of breast cancer types by texture analysis of magnetic resonance images
-
Holli K, Laaperi AL, Harrison L, Luukkaala T, Toivonen T, et al. 2010. Characterization of breast cancer types by texture analysis of magnetic resonance images. Acad. Radiol. 17:135-41
-
(2010)
Acad. Radiol
, vol.17
, pp. 135-141
-
-
Holli, K.1
Laaperi, A.L.2
Harrison, L.3
Luukkaala, T.4
Toivonen, T.5
-
86
-
-
40149101736
-
Analysis of tumor vascularity using three-Dimensional power Doppler ultrasound images
-
Huang S-F, Chang R-F, Moon WK, Lee Y-H, Chen D-R, Suri JS. 2008. Analysis of tumor vascularity using three-Dimensional power Doppler ultrasound images. IEEE Trans. Med. Imaging 27:320-30
-
(2008)
IEEE Trans Med. Imaging
, vol.27
, pp. 320-330
-
-
Huang, S.-F.1
Chang, R.-F.2
Moon, W.K.3
Lee, Y.-H.4
Chen, D.-R.5
Suri, J.S.6
-
87
-
-
80053264414
-
A health insurance portability and accountability act-compliant ocular telehealth network for the remote diagnosis and management of diabetic retinopathy
-
Li Y, Karnaowski T, Tobin K, Gaincardo L, Morris S, et al. 2011. A Health Insurance Portability and Accountability Act-compliant ocular telehealth network for the remote diagnosis and management of diabetic retinopathy. Telemed. e-Health 17:627-34
-
(2011)
Telemed. E-Health
, vol.17
, pp. 627-634
-
-
Li, Y.1
Karnaowski, T.2
Tobin, K.3
Gaincardo, L.4
Morris, S.5
-
88
-
-
77950560786
-
Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis
-
Karahaliou A, Vassiou K, Arikidis NS, Skiadopoulos S, Kanavou T, Costaridou L. 2010. Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis. Br. J. Radiol. 83:296-309
-
(2010)
Br. J. Radiol
, vol.83
, pp. 296-309
-
-
Karahaliou, A.1
Vassiou, K.2
Arikidis, N.S.3
Skiadopoulos, S.4
Kanavou, T.5
Costaridou, L.6
-
89
-
-
0032703733
-
Feature selection with limited datasets
-
Kupinski M, Giger M. 1999. Feature selection with limited datasets. Med. Phys. 26:2176-82
-
(1999)
Med. Phys
, vol.26
, pp. 2176-2182
-
-
Kupinski, M.1
Giger, M.2
-
90
-
-
0033863591
-
Feature selection and classifier performance in computer-Aided diagnosis: The effect of finite sample size
-
Sahiner B, Chan HP, Petrick N, Wagner R, Hadjiiski L. 2000. Feature selection and classifier performance in computer-Aided diagnosis: The effect of finite sample size. Med. Phys. 27:1509-22
-
(2000)
Med. Phys
, vol.27
, pp. 1509-1522
-
-
Sahiner, B.1
Chan, H.P.2
Petrick, N.3
Wagner, R.4
Hadjiiski, L.5
-
91
-
-
84881369987
-
Feature selection in computeraided breast cancer diagnosis via dynamic contrast-enhanced magnetic resonance images
-
Rakoczy M, McGaughey D, Korenberg M, Levman J, Martel A. 2012. Feature selection in computeraided breast cancer diagnosis via dynamic contrast-enhanced magnetic resonance images. J. Digit. Imaging 26:198-208
-
(2012)
J. Digit. Imaging
, vol.26
, pp. 198-208
-
-
Rakoczy, M.1
McGaughey, D.2
Korenberg, M.3
Levman, J.4
Martel, A.5
-
92
-
-
73649088617
-
Exploring nonlinear feature space dimension reduction and data representation in breastCADx with Laplacian eigenmaps and t-SNE
-
Jamieson AR, Giger ML, Drukker K, Li H, Yuan Y, Bhooshan N. 2010. Exploring nonlinear feature space dimension reduction and data representation in breastCADx with Laplacian eigenmaps and t-SNE. Med. Phys. 37:339-51
-
(2010)
Med. Phys
, vol.37
, pp. 339-351
-
-
Jamieson, A.R.1
Giger, M.L.2
Drukker, K.3
Li, H.4
Yuan, Y.5
Bhooshan, N.6
-
93
-
-
19344363582
-
Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines
-
Papadopoulos A, Fotiadis DI, Likas A. 2005. Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. Artif. Intell. Med. 34:141-50
-
(2005)
Artif. Intell. Med
, vol.34
, pp. 141-150
-
-
Papadopoulos, A.1
Fotiadis, D.I.2
Likas, A.3
-
94
-
-
84863220843
-
Diagnosing breast masses in digital mammography using feature selection and ensemble methods
-
Luo S-T, Cheng B-W. 2012. Diagnosing breast masses in digital mammography using feature selection and ensemble methods. J. Med. Syst. 36:569-77
-
(2012)
J. Med. Syst
, vol.36
, pp. 569-577
-
-
Luo, S.-T.1
Cheng, B.-W.2
-
95
-
-
0038670778
-
Improvement in breast tumor discrimination by support vectors machines and speckle-emphasis texture analysis
-
Chang R-F, Wu W-J, Moon WK, Chen D-R. 2003. Improvement in breast tumor discrimination by support vectors machines and speckle-emphasis texture analysis. Ultrasound Med. Biol. 29:679-86
-
(2003)
Ultrasound Med. Biol
, vol.29
, pp. 679-686
-
-
Chang, R.-F.1
Wu, W.-J.2
Moon, W.K.3
Chen, D.-R.4
-
96
-
-
43049153023
-
Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines
-
Levman J, LeungT,Causer P, PlewesDB, Martel AL. 2008. Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines. IEEE Trans. Med. Imaging 27:688-96
-
(2008)
IEEE Trans Med. Imaging
, vol.27
, pp. 688-696
-
-
Levman, J.1
Leung, T.2
Causer, P.3
Plewes, D.B.4
Martel, A.L.5
-
97
-
-
37549018499
-
Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization
-
Schlossbauer T, Leinsinger G, Wismuller A, Lange O, Scherr M, et al. 2008. Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization. Investig. Radiol. 43:56-64
-
(2008)
Investig. Radiol
, vol.43
, pp. 56-64
-
-
Schlossbauer, T.1
Leinsinger, G.2
Wismuller, A.3
Lange, O.4
Scherr, M.5
-
98
-
-
23644437143
-
Multimodality computerized diagnosis of breast lesions using mammography and sonography
-
Drukker K, Horsch K, Giger ML. 2005. Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad. Radiol. 12:970-79
-
(2005)
Acad. Radiol
, vol.12
, pp. 970-979
-
-
Drukker, K.1
Horsch, K.2
Giger, M.L.3
-
99
-
-
77955386829
-
Multimodality computer-Aided breast cancer diagnosis with FFDM and DCE-MRI
-
Yuan Y, Giger M, Li H, Bhooshan N, Sennett CA. 2010. Multimodality computer-Aided breast cancer diagnosis with FFDM and DCE-MRI. Acad. Radiol. 17:1158-67
-
(2010)
Acad. Radiol
, vol.17
, pp. 1158-1167
-
-
Yuan, Y.1
Giger, M.2
Li, H.3
Bhooshan, N.4
Sennett, C.A.5
-
101
-
-
5644289796
-
Multimodality CAD: Combination of computerized classification techniques based on mammograms and 3D ultrasound volumes for improved accuracy in breast mass characterization
-
Sahiner B, Chan H, Hadjiiski L, Roubidoux M, Paramagul C, et al. 2004. Multimodality CAD: Combination of computerized classification techniques based on mammograms and 3D ultrasound volumes for improved accuracy in breast mass characterization. SPIE Med. Imaging 5370:67-74
-
(2004)
SPIE Med. Imaging
, vol.5370
, pp. 67-74
-
-
Sahiner, B.1
Chan, H.2
Hadjiiski, L.3
Roubidoux, M.4
Paramagul, C.5
-
102
-
-
80052670785
-
Computerized three-class classification of MRI-based prognostic markers for breast cancer
-
BhooshanN,Giger M, Edwards D, Yuan Y, Jansen S, et al. 2011. Computerized three-class classification of MRI-based prognostic markers for breast cancer. Phys. Med. Biol. 56:5995-6008
-
(2011)
Phys. Med. Biol
, vol.56
, pp. 5995-6008
-
-
Bhooshan, N.1
Giger, M.2
Edwards, D.3
Yuan, Y.4
Jansen, S.5
-
103
-
-
33746220401
-
Classification of breast lesions with multimodality computer-Aided diagnosis: Observer study results on an independent clinical data set
-
Horsch K, GigerM, Vyborny C, Lan L,Mendelson E, Hendrick R. 2006. Classification of breast lesions with multimodality computer-Aided diagnosis: Observer study results on an independent clinical data set. Radiology 240:357-68
-
(2006)
Radiology
, vol.240
, pp. 357-368
-
-
Horsch, K.1
Giger, M.2
Vyborny, C.3
Lan, L.4
Mendelson, E.5
Hendrick, R.6
-
104
-
-
0032890770
-
Improving breast cancer diagnosis with computer-Aided diagnosis
-
Jiang Y, Nishikawa R, Schmidt R, Metz C, Giger M, Doi K. 1999. Improving breast cancer diagnosis with computer-Aided diagnosis. Acad. Radiol. 6:22-33
-
(1999)
Acad. Radiol
, vol.6
, pp. 22-33
-
-
Jiang, Y.1
Nishikawa, R.2
Schmidt, R.3
Metz, C.4
Giger, M.5
Doi, K.6
-
105
-
-
0032872797
-
Improvement of radiologists' characterization of mammographic masses by using computer-Aided diagnosis: An ROC study
-
Chan H-P, Sahiner B, Helvie MA, Petrick N, Roubidoux MA, et al. 1999. Improvement of radiologists' characterization of mammographic masses by using computer-Aided diagnosis: An ROC study. Radiology 212:817-27
-
(1999)
Radiology
, vol.212
, pp. 817-827
-
-
Chan, H.-P.1
Sahiner, B.2
Helvie, M.A.3
Petrick, N.4
Roubidoux, M.A.5
-
106
-
-
0034010317
-
Improved mammographic interpretation of masses using computer-Aided diagnosis
-
Leichter I, Fields S,Nirel R, Bamberger P,Novak B, et al. 2000. Improved mammographic interpretation of masses using computer-Aided diagnosis. Eur. Radiol. 10:377-83
-
(2000)
Eur. Radiol
, vol.10
, pp. 377-383
-
-
Leichter, I.1
Fields, S.2
Nirel, R.3
Bamberger, P.4
Novak, B.5
-
107
-
-
33846190665
-
BreastMRIlesion classification: Improved performance of human readers with a backpropagation neural network computer-Aided diagnosis (CAD) system
-
Meinel L, StolpenA,Berbaum K, FajardoL,Reinhardt J. 2007. BreastMRIlesion classification: Improved performance of human readers with a backpropagation neural network computer-Aided diagnosis (CAD) system. J. Magn. Reson. Imaging 25:89-95
-
(2007)
J. Magn. Reson. Imaging
, vol.25
, pp. 89-95
-
-
Meinel, L.1
Stolpen, A.2
Berbaum, K.3
Fajardo, L.4
Reinhardt, J.5
-
108
-
-
67349194374
-
Multi-modality CADx: ROC study of the effect on radiologists' accuracy in characterizing breast masses on mammograms and 3D ultrasound images
-
Sahiner B, Chan H, Hadjiiski L, Roubidoux M, Paramagul C, et al. 2009. Multi-modality CADx: ROC study of the effect on radiologists' accuracy in characterizing breast masses on mammograms and 3D ultrasound images. Acad. Radiol. 16:810-18
-
(2009)
Acad. Radiol
, vol.16
, pp. 810-818
-
-
Sahiner, B.1
Chan, H.2
Hadjiiski, L.3
Roubidoux, M.4
Paramagul, C.5
-
109
-
-
77953146140
-
Computer-Aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions
-
Timp S, Varela C, Karssemeijer N. 2010. Computer-Aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions. IEEE Trans. Inf. Technol. Biomed. 14:803-8
-
(2010)
IEEE Trans Inf. Technol. Biomed
, vol.14
, pp. 803-808
-
-
Timp, S.1
Varela, C.2
Karssemeijer, N.3
-
110
-
-
79952286400
-
Evaluation of clinical breast MR imaging performed with prototype computer-Aided diagnosis breast MR imaging workstation: Reader study
-
Shimauchi A, Giger M, Bhooshan N, Lan L, Pesce L, et al. 2011. Evaluation of clinical breast MR imaging performed with prototype computer-Aided diagnosis breast MR imaging workstation: Reader study. Radiology 258:696-704
-
(2011)
Radiology
, vol.258
, pp. 696-704
-
-
Shimauchi, A.1
Giger, M.2
Bhooshan, N.3
Lan, L.4
Pesce, L.5
-
111
-
-
0034871408
-
Potential of computer-Aided diagnosis to reduce variability in radiologists' interpretations ofmammograms depictingmicrocalcifications
-
Jiang Y, Nishikawa R, Schmidt R, Toledano A, Doi K. 2001. Potential of computer-Aided diagnosis to reduce variability in radiologists' interpretations ofmammograms depictingmicrocalcifications. Radiology 220:787-94
-
(2001)
Radiology
, vol.220
, pp. 787-794
-
-
Jiang, Y.1
Nishikawa, R.2
Schmidt, R.3
Toledano, A.4
Doi, K.5
-
112
-
-
55349120134
-
Prevalence scaling: Applications to an intelligent workstation for the diagnosis of breast cancer
-
Horsch K, GigerM,Metz C. 2008. Prevalence scaling: Applications to an intelligent workstation for the diagnosis of breast cancer. Acad. Radiol. 15:1446-57
-
(2008)
Acad. Radiol
, vol.15
, pp. 1446-1457
-
-
Horsch, K.1
Giger, M.2
Metz, C.3
-
113
-
-
38149065123
-
Potential effect of different radiologist reporting methods on studies showing benefit of CAD
-
Horsch K, GigerM,Metz C. 2008. Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad. Radiol. 15:139-52
-
(2008)
Acad. Radiol
, vol.15
, pp. 139-152
-
-
Horsch, K.1
Giger, M.2
Metz, C.3
-
114
-
-
84861623756
-
A scaling transformation for classifier output based on likelihood ratio: Applications to a CAD workstation for diagnosis of breast cancer
-
Horsch K, Pesce L, Giger M, Metz C, Jiang Y. 2012. A scaling transformation for classifier output based on likelihood ratio: Applications to a CAD workstation for diagnosis of breast cancer. Med. Phys. 39:2787-804
-
(2012)
Med. Phys
, vol.39
, pp. 2787-2804
-
-
Horsch, K.1
Pesce, L.2
Giger, M.3
Metz, C.4
Jiang, Y.5
-
115
-
-
0028150831
-
Karnofsky memorial lecture natural history of small breast cancers
-
Hellman S. 1994. Karnofsky memorial lecture. Natural history of small breast cancers. J. Clin. Oncol. 12:2229-34
-
(1994)
J. Clin. Oncol
, vol.12
, pp. 2229-2234
-
-
Hellman, S.1
-
117
-
-
77950142743
-
Cancerous breast lesions on dynamic contrast-enhanced MR images: Computerized characterization for image-based prognostic markers
-
BhooshanN,Giger M, Jansen SA, LiH, Lan L, Newstead G. 2010. Cancerous breast lesions on dynamic contrast-enhanced MR images: Computerized characterization for image-based prognostic markers. Radiology 254:680-90
-
(2010)
Radiology
, vol.254
, pp. 680-690
-
-
Bhooshan, N.1
Giger, M.2
Jansen, S.A.3
Li, H.4
Lan, L.5
Newstead, G.6
-
118
-
-
79957990380
-
Computer-Aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
-
Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. 2011. Computer-Aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput. Med. Imaging Graph. 35:506-14
-
(2011)
Comput. Med. Imaging Graph
, vol.35
, pp. 506-514
-
-
Madabhushi, A.1
Agner, S.2
Basavanhally, A.3
Doyle, S.4
Lee, G.5
-
119
-
-
20044371626
-
MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival
-
Partridge S, Gibbs J, Lu Y, Esserman L, Tripathy D, et al. 2005. MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. Am. J. Roentgenol. 184:1774-81
-
(2005)
Am. J. Roentgenol
, vol.184
, pp. 1774-1781
-
-
Partridge, S.1
Gibbs, J.2
Lu, Y.3
Esserman, L.4
Tripathy, D.5
-
120
-
-
58149198586
-
Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer
-
Ah-See M-LW,Makris A, Taylor NJ, HarrisonM, Richman PI, et al. 2008. Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer. Clin. Cancer Res. 14:6580-89
-
(2008)
Clin. Cancer Res
, vol.14
, pp. 6580-6589
-
-
Ah-See, M.-L.W.1
Makris, A.2
Taylor, N.J.3
Harrison, M.4
Richman, P.I.5
-
121
-
-
75249107842
-
Update on the potential of computer-Aided diagnosis for breast cancer
-
Giger ML. 2010. Update on the potential of computer-Aided diagnosis for breast cancer. Future Oncol. 6:1-4
-
(2010)
Future Oncol
, vol.6
, pp. 1-4
-
-
Giger, M.L.1
-
122
-
-
84880548675
-
Preliminary association study between imagebased biomarkers and genomic biomarkers for breast cancer risk assessment
-
96th Chicago
-
Li H, GigerM, Sun C, Ponsukcharoen U,Huo D, et al. 2010. Preliminary association study between imagebased biomarkers and genomic biomarkers for breast cancer risk assessment. Presented at Assem. Annu. Meet. Radiol. Soc. N. Am., 96th, Chicago
-
(2010)
Presented at Assem. Annu. Meet. Radiol. Soc. N. Am.
-
-
Li, H.1
Giger, M.2
Sun, C.3
Ponsukcharoen, U.4
Huo, D.5
-
123
-
-
33745452073
-
Breast image registration techniques: A survey
-
Guo Y, Sivaramakrishna R, Lu CC, Suri JS, Laxminarayan S. 2006. Breast image registration techniques: A survey. Med. Biol. Eng. Comput. 44(1-2):15-26
-
(2006)
Med. Biol. Eng. Comput
, vol.44
, Issue.1-2
, pp. 15-26
-
-
Guo, Y.1
Sivaramakrishna, R.2
Lu, C.C.3
Suri, J.S.4
Laxminarayan, S.5
-
124
-
-
0043237770
-
Image registration methods: A survey
-
Zitova B, Flusser J. 2003. Image registration methods: A survey. Image Vision Comput. 21(11):977-1000
-
(2003)
Image Vision Comput
, vol.21
, Issue.11
, pp. 977-1000
-
-
Zitova, B.1
Flusser, J.2
-
125
-
-
84865163034
-
Medical image registration
-
ed. TM Deserno, Berlin: Springer Verlag
-
Rueckert D, Schnabel JA. 2011. Medical image registration. In Biomedical Image Processing. ed. TM Deserno, pp. 131-54. Berlin: Springer-Verlag
-
(2011)
Biomedical Image Processing
, pp. 131-54
-
-
Rueckert, D.1
Schnabel, J.A.2
-
126
-
-
0043028206
-
Mutual-information-based registration of medical images: A survey
-
Pluim JPW, Maintz J. 2003. Mutual-information-based registration of medical images: A survey. IEEE Trans. Med. Imaging 22(8):986-1004
-
(2003)
IEEE Trans Med. Imaging
, vol.22
, Issue.8
, pp. 986-1004
-
-
Pluim, J.P.W.1
Maintz, J.2
-
127
-
-
0032826089
-
Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images
-
Denton ERE, Sonoda L, Rueckert D, Rankin SC, Hayes C, et al. 1999. Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images. J. Comput. Assist. Tomogr. 23(5): 800-5
-
(1999)
J. Comput. Assist. Tomogr
, vol.23
, Issue.5
, pp. 800-805
-
-
Denton, E.R.E.1
Sonoda, L.2
Rueckert, D.3
Rankin, S.C.4
Hayes, C.5
-
128
-
-
84947751307
-
Evaluation in control point selection in automatic, mutual information driven, 3D warping
-
Meyer C, Boes J, Kim B, Bland P. 1998. Evaluation in control point selection in automatic, mutual information driven, 3D warping. MICCAI, Lect. Notes Comput. Sci. 1496:944-51
-
(1998)
MICCAI, Lect. Notes Comput. Sci
, vol.1496
, pp. 944-951
-
-
Meyer, C.1
Boes, J.2
Kim, B.3
Bland, P.4
-
129
-
-
0033169211
-
Nonrigid registration using free-form deformations: Application to breast MR images
-
Rueckert D, Sonoda L, Hayes C, Hill D, Leach M, Hawkes D. 1999. Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Trans. Med. Imaging 18(8):712-21
-
(1999)
IEEE Trans Med. Imaging
, vol.18
, Issue.8
, pp. 712-721
-
-
Rueckert, D.1
Sonoda, L.2
Hayes, C.3
Hill, D.4
Leach, M.5
Hawkes, D.6
-
130
-
-
1142288170
-
A unified approach to fast image registration and a new curvature based registration technique
-
Fischer B, Modersitzki J. 2004. A unified approach to fast image registration and a new curvature based registration technique. Linear Algebr. Appl. 380:107-24
-
(2004)
Linear Algebr. Appl
, vol.380
, pp. 107-124
-
-
Fischer, B.1
Modersitzki, J.2
-
131
-
-
27144517439
-
Anisotropicmulti-scale fluid registration: Evaluation inmagnetic resonance breast imaging
-
CrumWR,TannerC,HawkesD. 2005. Anisotropicmulti-scale fluid registration: Evaluation inmagnetic resonance breast imaging. Phys. Med. Biol. 50(21):5153-74
-
(2005)
Phys. Med. Biol
, vol.50
, Issue.21
, pp. 5153-5174
-
-
Crum, W.R.1
Tanner, C.2
Hawkes, D.3
-
132
-
-
84945566718
-
Volume and shape preservation of enhancing lesions when applying non-rigid registration to a time series of contrast enhancing MR breast images
-
Tanner C, Schnabel JA, ChungD, Clarkson MJ, RueckertD, et al. 2000. Volume and shape preservation of enhancing lesions when applying non-rigid registration to a time series of contrast enhancing MR breast images. MICCAI, Lect. Notes Comput. Sci. 1935:327-37
-
(2000)
MICCAI, Lect. Notes Comput. Sci
, vol.1935
, pp. 327-337
-
-
Tanner, C.1
Schnabel, J.A.2
Chung, D.3
Clarkson, M.J.4
Rueckert, D.5
-
133
-
-
0042405180
-
Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint
-
Rohlfing T,Maurer CR Jr, Bluemke DA, Jacobs MA. 2003. Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Trans. Med. Imaging 22:730-41
-
(2003)
IEEE Trans Med. Imaging
, vol.22
, pp. 730-741
-
-
Rohlfing, T.1
Maurer Jr., C.R.2
Bluemke, D.A.3
Jacobs, M.A.4
-
134
-
-
84880535858
-
-
Copenhagen: Dep. Comput. Sci., Univ. Copenhagen
-
Tanner C, Schnabel J, Karssemeijer N, Nielsen M, Giger M, Hawkes D, eds. 2011. Workshop on Breast Image Analysis. Copenhagen: Dep. Comput. Sci., Univ. Copenhagen. http://www.diku.dk/ BIA2011proceedings.pdf
-
(2011)
Workshop on Breast Image Analysis
-
-
Tanner, C.1
Schnabel, J.2
Karssemeijer, N.3
Nielsen, M.4
Giger, M.5
Hawkes, D.6
-
135
-
-
0035297602
-
Biomechanical 3-D finite element modeling of the human breast using MRI data
-
Samani A, Bishop JA, Yaffe MJ, Plewes DB. 2001. Biomechanical 3-D finite element modeling of the human breast using MRI data. IEEE Trans. Med. Imaging 20(4):271-79
-
(2001)
IEEE Trans Med. Imaging
, vol.20
, Issue.4
, pp. 271-279
-
-
Samani, A.1
Bishop, J.A.2
Yaffe, M.J.3
Plewes, D.B.4
-
136
-
-
33744821399
-
Factors influencing the accuracy of biomechanical breast models
-
Tanner C, Schnabel JA, Hill DLG, Hawkes DJ, Leach MO, Hose DR. 2006. Factors influencing the accuracy of biomechanical breast models. Med. Phys. 33(6):1758-69
-
(2006)
Med. Phys
, vol.33
, Issue.6
, pp. 1758-1769
-
-
Tanner, C.1
Schnabel, J.A.2
Hill, D.L.G.3
Hawkes, D.J.4
Leach, M.O.5
Hose, D.R.6
-
137
-
-
0038398635
-
Validation of nonrigid image registration using finite-elementmethods: Application to breastMR images
-
Schnabel JA, Tanner C, Castellano-Smith AD, Degenhard A, Leach MO, et al. 2003. Validation of nonrigid image registration using finite-elementmethods: Application to breastMR images. IEEE Trans. Med. Imaging 22:238-47
-
(2003)
IEEE Trans Med. Imaging
, vol.22
, pp. 238-247
-
-
Schnabel, J.A.1
Tanner, C.2
Castellano-Smith, A.D.3
Degenhard, A.4
Leach, M.O.5
-
138
-
-
34147141374
-
Quantitative evaluation of free-form deformation registration for dynamic contrast-enhanced MR mammography
-
Tanner C, Schnabel JA, Hill DLG, Hawkes DJ, Degenhard A, et al. 2007. Quantitative evaluation of free-form deformation registration for dynamic contrast-enhanced MR mammography. Med. Phys. 34:1221-33
-
(2007)
Med. Phys
, vol.34
, pp. 1221-1233
-
-
Tanner, C.1
Schnabel, J.A.2
Hill, D.L.G.3
Hawkes, D.J.4
Degenhard, A.5
-
139
-
-
34548542703
-
A new validation method for X-ray mammogram registration algorithms using a projectionmodel of breast X-ray compression
-
Hipwell JH, Tanner C, Crum WR, Schnabel J, Hawkes D. 2007. A new validation method for X-ray mammogram registration algorithms using a projectionmodel of breast X-ray compression. IEEE Trans. Med. Imaging 26(9):1190-200
-
(2007)
IEEE Trans Med. Imaging
, vol.26
, Issue.9
, pp. 1190-1200
-
-
Hipwell, J.H.1
Tanner, C.2
Crum, W.R.3
Schnabel, J.4
Hawkes, D.5
-
140
-
-
53549128935
-
Predicting tumor location by modeling the deformation of the breast
-
Pathmanathan P, Gavaghan DJ, Whiteley J, Chapman SJ, Brady JM. 2008. Predicting tumor location by modeling the deformation of the breast. IEEE Trans. Biomed. Eng. 55(10):2471-80
-
(2008)
IEEE Trans Biomed. Eng
, vol.55
, Issue.10
, pp. 2471-2480
-
-
Pathmanathan, P.1
Gavaghan, D.J.2
Whiteley, J.3
Chapman, S.J.4
Brady, J.M.5
-
141
-
-
33645660189
-
Model-based registration of X-ray mammograms and MR images of the female breast
-
Ruiter NV, Stotzka R, Muller TO, Gemmeke H, Reichenbach JR, Kaiser WA. 2006. Model-based registration of X-ray mammograms and MR images of the female breast. IEEE Trans. Nuclear Sci. 53(1):204-11
-
(2006)
IEEE Trans Nuclear Sci
, vol.53
, Issue.1
, pp. 204-211
-
-
Ruiter, N.V.1
Stotzka, R.2
Muller, T.O.3
Gemmeke, H.4
Reichenbach, J.R.5
Kaiser, W.A.6
-
142
-
-
84861995257
-
MRI to X-ray mammography registration using a volume-preserving affine transformation
-
Mertzanidou T, Hipwell J, Cardoso MJ, Zhang X, Tanner C, et al. 2012. MRI to X-ray mammography registration using a volume-preserving affine transformation. Med. Image Anal. 16(5):966-75
-
(2012)
Med. Image Anal
, vol.16
, Issue.5
, pp. 966-975
-
-
Mertzanidou, T.1
Hipwell, J.2
Cardoso, M.J.3
Zhang, X.4
Tanner, C.5
-
143
-
-
43149101308
-
Temporal change analysis for improved tumor detection in dedicated CT breast imaging using affine and free-form deformation
-
Dey J, O'Connor JM, Chen Y, Glick SJ. 2008. Temporal change analysis for improved tumor detection in dedicated CT breast imaging using affine and free-form deformation. Proc. SPIE 6913:69131D
-
(2008)
Proc. SPIE
, vol.6913
-
-
Dey, J.1
O'Connor, J.M.2
Chen, Y.3
Glick, S.J.4
-
144
-
-
69449092739
-
Initial characterization of a dedicated breast PET/CT scanner during human imaging
-
Bowen SL, Wu Y, Chaudhari AJ, Fu L, Packard NJ, et al. 2009. Initial characterization of a dedicated breast PET/CT scanner during human imaging. J. Nuclear Med. 50(9):1401-8
-
(2009)
J. Nuclear Med
, vol.50
, Issue.9
, pp. 1401-1408
-
-
Bowen, S.L.1
Wu, Y.2
Chaudhari, A.J.3
Fu, L.4
Packard, N.J.5
-
145
-
-
70349835800
-
A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response
-
Li X, Dawant BM, Welch EB, Chakravarthy AB, Freehardt D, et al. 2009. A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response. Magn. Reson. Med. 27:1258-70
-
(2009)
Magn. Reson. Med
, vol.27
, pp. 1258-1270
-
-
Li, X.1
Dawant, B.M.2
Welch, E.B.3
Chakravarthy, A.B.4
Freehardt, D.5
-
146
-
-
84864012861
-
Early DCE-MRI changes after longitudinal registrationmay predict breast cancer response to neoadjuvant chemotherapy
-
Li X, Arlinghaus LR, Chakravarthy AB, Farley J, Mayer IA, et al. 2012. Early DCE-MRI changes after longitudinal registrationmay predict breast cancer response to neoadjuvant chemotherapy. Biomed. Image Regist., Lect. Notes Comput. Sci. 7359:229-35
-
(2012)
Biomed. Image Regist., Lect. Notes Comput. Sci
, vol.7359
, pp. 229-235
-
-
Li, X.1
Arlinghaus, L.R.2
Chakravarthy, A.B.3
Farley, J.4
Mayer, I.A.5
-
147
-
-
79960532075
-
Deformable medical image registration: Setting the state of the art with discrete methods
-
Glocker B, Sotiras A, Komodakis N, Paragios N. 2011. Deformable medical image registration: Setting the state of the art with discrete methods. Annu. Rev. Biomed. Eng. 13:219-44
-
(2011)
Annu. Rev. Biomed. Eng
, vol.13
, pp. 219-244
-
-
Glocker, B.1
Sotiras, A.2
Komodakis, N.3
Paragios, N.4
-
148
-
-
84856094269
-
Towards a more realistic biomechanical modelling of breast malignant tumours
-
Wessel C, Schnabel J, Brady JM. 2012. Towards a more realistic biomechanical modelling of breast malignant tumours. Phys. Med. Biol. 57(3):631-48
-
(2012)
Phys. Med. Biol
, vol.57
, Issue.3
, pp. 631-648
-
-
Wessel, C.1
Schnabel, J.2
Brady, J.M.3
|