107 related articles for article (PubMed ID: 28493579)
21. A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment.
Zheng B; Lu A; Hardesty LA; Sumkin JH; Hakim CM; Ganott MA; Gur D
Med Phys; 2006 Jan; 33(1):111-7. PubMed ID: 16485416
[TBL] [Abstract][Full Text] [Related]
22. [Application of a computer-aided detection (CAD) system to digitalized mammograms for identifying microcalcifications].
Bazzocchi M; Facecchia I; Zuiani C; Londero V; Smania S; Bottigli U; Delogu P
Radiol Med; 2001 May; 101(5):334-40. PubMed ID: 11438784
[TBL] [Abstract][Full Text] [Related]
23. Effects of different compression techniques on diagnostic accuracies of breast masses on digitized mammograms.
Liang Z; Du X; Liu J; Yang Y; Rong D; Yao X; Li K
Acta Radiol; 2008 Sep; 49(7):747-51. PubMed ID: 18608020
[TBL] [Abstract][Full Text] [Related]
24. Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
Mavroforakis ME; Georgiou HV; Dimitropoulos N; Cavouras D; Theodoridis S
Artif Intell Med; 2006 Jun; 37(2):145-62. PubMed ID: 16716579
[TBL] [Abstract][Full Text] [Related]
25. Usefulness of artificial neural network for differential diagnosis of hepatic masses on CT images.
Matake K; Yoshimitsu K; Kumazawa S; Higashida Y; Irie H; Asayama Y; Nakayama T; Kakihara D; Katsuragawa S; Doi K; Honda H
Acad Radiol; 2006 Aug; 13(8):951-62. PubMed ID: 16843847
[TBL] [Abstract][Full Text] [Related]
26. Comparative analysis of data collection methods for individualized modeling of radiologists' visual similarity judgments in mammograms.
Tourassi G; Yoon HJ; Xu S; Morin-Ducote G; Hudson K
Acad Radiol; 2013 Nov; 20(11):1371-80. PubMed ID: 24119349
[TBL] [Abstract][Full Text] [Related]
27. Comparison of similarity measures for the task of template matching of masses on serial mammograms.
Filev P; Hadjiiski L; Sahiner B; Chan HP; Helvie MA
Med Phys; 2005 Feb; 32(2):515-29. PubMed ID: 15789598
[TBL] [Abstract][Full Text] [Related]
28. Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions.
Timp S; Varela C; Karssemeijer N
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):803-8. PubMed ID: 20403792
[TBL] [Abstract][Full Text] [Related]
29. Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.
Sahiner B; Chan HP; Roubidoux MA; Hadjiiski LM; Helvie MA; Paramagul C; Bailey J; Nees AV; Blane C
Radiology; 2007 Mar; 242(3):716-24. PubMed ID: 17244717
[TBL] [Abstract][Full Text] [Related]
30. Correspondence in texture features between two mammographic views.
Gupta S; Markey MK
Med Phys; 2005 Jun; 32(6):1598-606. PubMed ID: 16013719
[TBL] [Abstract][Full Text] [Related]
31. Computerized assessment of tissue composition on digitized mammograms.
Chang YH; Wang XH; Hardesty LA; Chang TS; Poller WR; Good WF; Gur D
Acad Radiol; 2002 Aug; 9(8):899-905. PubMed ID: 12186438
[TBL] [Abstract][Full Text] [Related]
32. Hybrid segmentation of mass in mammograms using template matching and dynamic programming.
Song E; Xu S; Xu X; Zeng J; Lan Y; Zhang S; Hung CC
Acad Radiol; 2010 Nov; 17(11):1414-24. PubMed ID: 20817575
[TBL] [Abstract][Full Text] [Related]
33. 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
Acta Radiol; 2008 Jul; 49(6):618-22. PubMed ID: 18568552
[TBL] [Abstract][Full Text] [Related]
34. A similarity learning approach to content-based image retrieval: application to digital mammography.
El-Naqa I; Yang Y; Galatsanos NP; Nishikawa RM; Wernick MN
IEEE Trans Med Imaging; 2004 Oct; 23(10):1233-44. PubMed ID: 15493691
[TBL] [Abstract][Full Text] [Related]
35. Comparison of LCD and CRT displays based on efficacy for digital mammography.
Saunders RS; Samei E; Baker J; Delong D; Soo MS; Walsh R; Pisano E; Kuzmiak CM; Pavic D
Acad Radiol; 2006 Nov; 13(11):1317-26. PubMed ID: 17070449
[TBL] [Abstract][Full Text] [Related]
36. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms.
Nakayama R; Abe H; Shiraishi J; Doi K
Radiology; 2009 Dec; 253(3):625-31. PubMed ID: 19789245
[TBL] [Abstract][Full Text] [Related]
37. Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience.
Shiraishi J; Abe H; Engelmann R; Aoyama M; MacMahon H; Doi K
Radiology; 2003 May; 227(2):469-74. PubMed ID: 12732700
[TBL] [Abstract][Full Text] [Related]
38. Breast cancer: effectiveness of computer-aided diagnosis observer study with independent database of mammograms.
Huo Z; Giger ML; Vyborny CJ; Metz CE
Radiology; 2002 Aug; 224(2):560-8. PubMed ID: 12147857
[TBL] [Abstract][Full Text] [Related]
39. Analysis of temporal changes of mammographic features: computer-aided classification of malignant and benign breast masses.
Hadjiiski L; Sahiner B; Chan HP; Petrick N; Helvie MA; Gurcan M
Med Phys; 2001 Nov; 28(11):2309-17. PubMed ID: 11764038
[TBL] [Abstract][Full Text] [Related]
40. Features of prospectively overlooked computer-aided detection marks on prior screening digital mammograms in women with breast cancer.
Cho N; Kim SJ; Choi HY; Lyou CY; Moon WK
AJR Am J Roentgenol; 2010 Nov; 195(5):1276-82. PubMed ID: 20966340
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
