274 related articles for article (PubMed ID: 22173323)
41. Characterization of difference of Gaussian filters in the detection of mammographic regions.
Catarious DM; Baydush AH; Floyd CE
Med Phys; 2006 Nov; 33(11):4104-14. PubMed ID: 17153390
[TBL] [Abstract][Full Text] [Related]
42. Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Yuan Y; Giger ML; Li H; Bhooshan N; Sennett CA
Acad Radiol; 2010 Sep; 17(9):1158-67. PubMed ID: 20692620
[TBL] [Abstract][Full Text] [Related]
43. Evaluation of computer-aided detection of lesions in mammograms obtained with a digital phase-contrast mammography system.
Tanaka T; Nitta N; Ohta S; Kobayashi T; Kano A; Tsuchiya K; Murakami Y; Kitahara S; Wakamiya M; Furukawa A; Takahashi M; Murata K
Eur Radiol; 2009 Dec; 19(12):2886-95. PubMed ID: 19585121
[TBL] [Abstract][Full Text] [Related]
44. An interactive system for computer-aided diagnosis of breast masses.
Wang X; Li L; Liu W; Xu W; Lederman D; Zheng B
J Digit Imaging; 2012 Oct; 25(5):570-9. PubMed ID: 22234836
[TBL] [Abstract][Full Text] [Related]
45. Automated Percentage of Breast Density Measurements for Full-field Digital Mammography Applications.
Fowler EE; Vachon CM; Scott CG; Sellers TA; Heine JJ
Acad Radiol; 2014 Aug; 21(8):958-70. PubMed ID: 25018067
[TBL] [Abstract][Full Text] [Related]
46. Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
Sapate SG; Mahajan A; Talbar SN; Sable N; Desai S; Thakur M
Comput Methods Programs Biomed; 2018 Sep; 163():1-20. PubMed ID: 30119844
[TBL] [Abstract][Full Text] [Related]
47. Mammographic features of breast cancers at single reading with computer-aided detection and at double reading in a large multicenter prospective trial of computer-aided detection: CADET II.
James JJ; Gilbert FJ; Wallis MG; Gillan MG; Astley SM; Boggis CR; Agbaje OF; Brentnall AR; Duffy SW
Radiology; 2010 Aug; 256(2):379-86. PubMed ID: 20656831
[TBL] [Abstract][Full Text] [Related]
48. Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk.
Tan M; Pu J; Cheng S; Liu H; Zheng B
Ann Biomed Eng; 2015 Oct; 43(10):2416-28. PubMed ID: 25851469
[TBL] [Abstract][Full Text] [Related]
49. Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.
Tan M; Zheng B; Ramalingam P; Gur D
Acad Radiol; 2013 Dec; 20(12):1542-50. PubMed ID: 24200481
[TBL] [Abstract][Full Text] [Related]
50. An evaluation of contrast enhancement techniques for mammographic breast masses.
Singh S; Bovis K
IEEE Trans Inf Technol Biomed; 2005 Mar; 9(1):109-19. PubMed ID: 15787013
[TBL] [Abstract][Full Text] [Related]
51. Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension.
Park SC; Wang XH; Zheng B
Acad Radiol; 2009 Oct; 16(10):1171-8. PubMed ID: 19524455
[TBL] [Abstract][Full Text] [Related]
52. A review of automatic mass detection and segmentation in mammographic images.
Oliver A; Freixenet J; Martí J; Pérez E; Pont J; Denton ER; Zwiggelaar R
Med Image Anal; 2010 Apr; 14(2):87-110. PubMed ID: 20071209
[TBL] [Abstract][Full Text] [Related]
53. Temporal change analysis for characterization of mass lesions in mammography.
Timp S; Varela C; Karssemeijer N
IEEE Trans Med Imaging; 2007 Jul; 26(7):945-53. PubMed ID: 17649908
[TBL] [Abstract][Full Text] [Related]
54. Detection of breast masses in mammograms by density slicing and texture flow-field analysis.
Mudigonda NR; Rangayyan RM; Desautels JE
IEEE Trans Med Imaging; 2001 Dec; 20(12):1215-27. PubMed ID: 11811822
[TBL] [Abstract][Full Text] [Related]
55. The performance of computer-aided detection when analyzing prior mammograms of newly detected breast cancers with special focus on the time interval from initial imaging to detection.
Malich A; Schmidt S; Fischer DR; Facius M; Kaiser WA
Eur J Radiol; 2009 Mar; 69(3):574-8. PubMed ID: 18337045
[TBL] [Abstract][Full Text] [Related]
56. Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.
Mazurowski MA; Lo JY; Harrawood BP; Tourassi GD
J Biomed Inform; 2011 Oct; 44(5):815-23. PubMed ID: 21554985
[TBL] [Abstract][Full Text] [Related]
57. Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms.
Sun W; Zheng B; Lure F; Wu T; Zhang J; Wang BY; Saltzstein EC; Qian W
Comput Med Imaging Graph; 2014 Jul; 38(5):348-57. PubMed ID: 24725671
[TBL] [Abstract][Full Text] [Related]
58. [Impact of breast density on computer-aided detection (CAD) of breast cancer].
Yang KY; Liu XJ; Zhai RY
Zhonghua Zhong Liu Za Zhi; 2012 May; 34(5):360-3. PubMed ID: 22883457
[TBL] [Abstract][Full Text] [Related]
59. Computer-aided classification of mammographic masses using visually sensitive image features.
Wang Y; Aghaei F; Zarafshani A; Qiu Y; Qian W; Zheng B
J Xray Sci Technol; 2017; 25(1):171-186. PubMed ID: 27911353
[TBL] [Abstract][Full Text] [Related]
60. Impact of breast density on computer-aided detection for breast cancer.
Brem RF; Hoffmeister JW; Rapelyea JA; Zisman G; Mohtashemi K; Jindal G; Disimio MP; Rogers SK
AJR Am J Roentgenol; 2005 Feb; 184(2):439-44. PubMed ID: 15671360
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]