154 related articles for article (PubMed ID: 34132495)
21. Clinical performance of computer-assisted detection (CAD system in detecting carcinoma in breasts of different densities.
Ho WT; Lam PW
Clin Radiol; 2003 Feb; 58(2):133-6. PubMed ID: 12623042
[TBL] [Abstract][Full Text] [Related]
22. Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.
Becker AS; Marcon M; Ghafoor S; Wurnig MC; Frauenfelder T; Boss A
Invest Radiol; 2017 Jul; 52(7):434-440. PubMed ID: 28212138
[TBL] [Abstract][Full Text] [Related]
23. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; Corrêa Silva A; de Paiva AC; Gattass M
Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
[TBL] [Abstract][Full Text] [Related]
24. Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.
Akselrod-Ballin A; Chorev M; Shoshan Y; Spiro A; Hazan A; Melamed R; Barkan E; Herzel E; Naor S; Karavani E; Koren G; Goldschmidt Y; Shalev V; Rosen-Zvi M; Guindy M
Radiology; 2019 Aug; 292(2):331-342. PubMed ID: 31210611
[TBL] [Abstract][Full Text] [Related]
25. Computer-aided detection in digital mammography: comparison of craniocaudal, mediolateral oblique, and mediolateral views.
Kim SJ; Moon WK; Cho N; Cha JH; Kim SM; Im JG
Radiology; 2006 Dec; 241(3):695-701. PubMed ID: 17114620
[TBL] [Abstract][Full Text] [Related]
26. Evaluation of an automated wavelet-based system dedicated to the detection of clustered microcalcifications in digital mammograms.
Lado M; Tahoces PG; Méndez AJ; Souto M; Vidal JJ
Med Inform Internet Med; 2001; 26(3):149-63. PubMed ID: 11706926
[TBL] [Abstract][Full Text] [Related]
27. Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study.
Hinton B; Ma L; Mahmoudzadeh AP; Malkov S; Fan B; Greenwood H; Joe B; Lee V; Kerlikowske K; Shepherd J
Cancer Imaging; 2019 Jun; 19(1):41. PubMed ID: 31228956
[TBL] [Abstract][Full Text] [Related]
28. Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.
Watanabe AT; Lim V; Vu HX; Chim R; Weise E; Liu J; Bradley WG; Comstock CE
J Digit Imaging; 2019 Aug; 32(4):625-637. PubMed ID: 31011956
[TBL] [Abstract][Full Text] [Related]
29. Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis.
Pinto MC; Rodriguez-Ruiz A; Pedersen K; Hofvind S; Wicklein J; Kappler S; Mann RM; Sechopoulos I
Radiology; 2021 Sep; 300(3):529-536. PubMed ID: 34227882
[TBL] [Abstract][Full Text] [Related]
30. Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison.
Spangler ML; Zuley ML; Sumkin JH; Abrams G; Ganott MA; Hakim C; Perrin R; Chough DM; Shah R; Gur D
AJR Am J Roentgenol; 2011 Feb; 196(2):320-4. PubMed ID: 21257882
[TBL] [Abstract][Full Text] [Related]
31. Comparison of new and established full-field digital mammography systems in diagnostic performance.
Ko ES; Han BK; Kim SM; Ko EY; Jang M; Lyou CY; Chang JM; Moon WK; Kim RB
Korean J Radiol; 2013; 14(2):164-70. PubMed ID: 23482833
[TBL] [Abstract][Full Text] [Related]
32. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
Mendel K; Li H; Sheth D; Giger M
Acad Radiol; 2019 Jun; 26(6):735-743. PubMed ID: 30076083
[TBL] [Abstract][Full Text] [Related]
33. Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis.
Zhang F; Wu S; Zhang C; Chen Q; Yang X; Jiang K; Zheng J
Med Phys; 2019 Mar; 46(3):1300-1308. PubMed ID: 30661242
[TBL] [Abstract][Full Text] [Related]
34. Sensitivity of a direct computer-aided detection system in full-field digital mammography for detection of microcalcifications not associated with mass or architectural distortion.
Scaranelo AM; Crystal P; Bukhanov K; Helbich TH
Can Assoc Radiol J; 2010 Jun; 61(3):162-9. PubMed ID: 20137883
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Influence of using manual or automatic breast density information in a mass detection CAD system.
Oliver A; Lladó X; Freixenet J; Martí R; Pérez E; Pont J; Zwiggelaar R
Acad Radiol; 2010 Jul; 17(7):877-83. PubMed ID: 20540910
[TBL] [Abstract][Full Text] [Related]
37. DV-DCNN: Dual-view deep convolutional neural network for matching detected masses in mammograms.
AlGhamdi M; Abdel-Mottaleb M
Comput Methods Programs Biomed; 2021 Aug; 207():106152. PubMed ID: 34058629
[TBL] [Abstract][Full Text] [Related]
38. Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts.
Pérez-Benito FJ; Signol F; Pérez-Cortés JC; Pollán M; Pérez-Gómez B; Salas-Trejo D; Casals M; Martínez I; LLobet R
Comput Methods Programs Biomed; 2019 Aug; 177():123-132. PubMed ID: 31319940
[TBL] [Abstract][Full Text] [Related]
39. Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification.
Wang X; Lederman D; Tan J; Wang XH; Zheng B
Acad Radiol; 2010 Oct; 17(10):1234-41. PubMed ID: 20619697
[TBL] [Abstract][Full Text] [Related]
40. Automated feature set selection and its application to MCC identification in digital mammograms for breast cancer detection.
Huang YJ; Chan DY; Cheng DC; Ho YJ; Tsai PP; Shen WC; Chen RF
Sensors (Basel); 2013 Apr; 13(4):4855-75. PubMed ID: 23580053
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
