227 related articles for article (PubMed ID: 31410677)
1. Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms-a Deep-Learning Study.
Mall S; Brennan PC; Mello-Thoms C
J Digit Imaging; 2019 Oct; 32(5):746-760. PubMed ID: 31410677
[TBL] [Abstract][Full Text] [Related]
2. Modeling visual search behavior of breast radiologists using a deep convolution neural network.
Mall S; Brennan PC; Mello-Thoms C
J Med Imaging (Bellingham); 2018 Jul; 5(3):035502. PubMed ID: 30128329
[TBL] [Abstract][Full Text] [Related]
3. Visual search in breast imaging.
Gandomkar Z; Mello-Thoms C
Br J Radiol; 2019 Oct; 92(1102):20190057. PubMed ID: 31287719
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
Schaffter T; Buist DSM; Lee CI; Nikulin Y; Ribli D; Guan Y; Lotter W; Jie Z; Du H; Wang S; Feng J; Feng M; Kim HE; Albiol F; Albiol A; Morrell S; Wojna Z; Ahsen ME; Asif U; Jimeno Yepes A; Yohanandan S; Rabinovici-Cohen S; Yi D; Hoff B; Yu T; Chaibub Neto E; Rubin DL; Lindholm P; Margolies LR; McBride RB; Rothstein JH; Sieh W; Ben-Ari R; Harrer S; Trister A; Friend S; Norman T; Sahiner B; Strand F; Guinney J; Stolovitzky G; ; Mackey L; Cahoon J; Shen L; Sohn JH; Trivedi H; Shen Y; Buturovic L; Pereira JC; Cardoso JS; Castro E; Kalleberg KT; Pelka O; Nedjar I; Geras KJ; Nensa F; Goan E; Koitka S; Caballero L; Cox DD; Krishnaswamy P; Pandey G; Friedrich CM; Perrin D; Fookes C; Shi B; Cardoso Negrie G; Kawczynski M; Cho K; Khoo CS; Lo JY; Sorensen AG; Jung H
JAMA Netw Open; 2020 Mar; 3(3):e200265. PubMed ID: 32119094
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Large scale deep learning for computer aided detection of mammographic lesions.
Kooi T; Litjens G; van Ginneken B; Gubern-Mérida A; Sánchez CI; Mann R; den Heeten A; Karssemeijer N
Med Image Anal; 2017 Jan; 35():303-312. PubMed ID: 27497072
[TBL] [Abstract][Full Text] [Related]
8. Fixated and Not Fixated Regions of Mammograms: A Higher-Order Statistical Analysis of Visual Search Behavior.
Mall S; Brennan P; Mello-Thoms C
Acad Radiol; 2017 Apr; 24(4):442-455. PubMed ID: 28139426
[TBL] [Abstract][Full Text] [Related]
9. Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.
Wu N; Phang J; Park J; Shen Y; Huang Z; Zorin M; Jastrzebski S; Fevry T; Katsnelson J; Kim E; Wolfson S; Parikh U; Gaddam S; Lin LLY; Ho K; Weinstein JD; Reig B; Gao Y; Toth H; Pysarenko K; Lewin A; Lee J; Airola K; Mema E; Chung S; Hwang E; Samreen N; Kim SG; Heacock L; Moy L; Cho K; Geras KJ
IEEE Trans Med Imaging; 2020 Apr; 39(4):1184-1194. PubMed ID: 31603772
[TBL] [Abstract][Full Text] [Related]
10. Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.
Li X; Qin G; He Q; Sun L; Zeng H; He Z; Chen W; Zhen X; Zhou L
Eur Radiol; 2020 Feb; 30(2):778-788. PubMed ID: 31691121
[TBL] [Abstract][Full Text] [Related]
11. RAMS: Remote and automatic mammogram screening.
Cogan T; Cogan M; Tamil L
Comput Biol Med; 2019 Apr; 107():18-29. PubMed ID: 30771549
[TBL] [Abstract][Full Text] [Related]
12. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
[TBL] [Abstract][Full Text] [Related]
13. Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation.
Lehman CD; Yala A; Schuster T; Dontchos B; Bahl M; Swanson K; Barzilay R
Radiology; 2019 Jan; 290(1):52-58. PubMed ID: 30325282
[TBL] [Abstract][Full Text] [Related]
14. New convolutional neural network model for screening and diagnosis of mammograms.
Zhang C; Zhao J; Niu J; Li D
PLoS One; 2020; 15(8):e0237674. PubMed ID: 32790772
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. How mammographic breast density affects radiologists' visual search patterns.
Al Mousa DS; Brennan PC; Ryan EA; Lee WB; Tan J; Mello-Thoms C
Acad Radiol; 2014 Nov; 21(11):1386-93. PubMed ID: 25172414
[TBL] [Abstract][Full Text] [Related]
17. Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.
Yi PH; Lin A; Wei J; Yu AC; Sair HI; Hui FK; Hager GD; Harvey SC
J Digit Imaging; 2019 Aug; 32(4):565-570. PubMed ID: 31197559
[TBL] [Abstract][Full Text] [Related]
18. Breast density prediction from low and standard dose mammograms using deep learning: effect of image resolution and model training approach on prediction quality.
Squires S; Harkness EF; Mackenzie A; Evans DG; Howell SJ; Astley SM
Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38701765
[No Abstract] [Full Text] [Related]
19. A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.
Yala A; Schuster T; Miles R; Barzilay R; Lehman C
Radiology; 2019 Oct; 293(1):38-46. PubMed ID: 31385754
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
