314 related articles for article (PubMed ID: 32629712)
1. A deep learning-based automated diagnostic system for classifying mammographic lesions.
Yamaguchi T; Inoue K; Tsunoda H; Uematsu T; Shinohara N; Mukai H
Medicine (Baltimore); 2020 Jul; 99(27):e20977. PubMed ID: 32629712
[TBL] [Abstract][Full Text] [Related]
2. Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection.
Yoon JH; Kim EK; Kim GR; Han K; Moon HJ
AJR Am J Roentgenol; 2022 Jan; 218(1):42-51. PubMed ID: 34378399
[No Abstract] [Full Text] [Related]
3. Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography.
Lee SE; Hong H; Kim EK
Korean J Radiol; 2024 Apr; 25(4):343-350. PubMed ID: 38528692
[TBL] [Abstract][Full Text] [Related]
4. Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time.
Park EK; Kwak S; Lee W; Choi JS; Kooi T; Kim EK
Radiol Artif Intell; 2024 May; 6(3):e230318. PubMed ID: 38568095
[TBL] [Abstract][Full Text] [Related]
5. AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation.
Raya-Povedano JL; Romero-Martín S; Elías-Cabot E; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
Radiology; 2021 Jul; 300(1):57-65. PubMed ID: 33944627
[TBL] [Abstract][Full Text] [Related]
6. Use of novel artificial intelligence computer-assisted detection (AI-CAD) for screening mammography: an analysis of 17,884 consecutive two-view full-field digital mammography screening exams.
Heywang-Köbrunner SH; Hacker A; Jänsch A; Hertlein M; Mieskes C; Elsner S; Sinnatamby R; Katalinic A
Acta Radiol; 2023 Oct; 64(10):2697-2703. PubMed ID: 37642981
[TBL] [Abstract][Full Text] [Related]
7. Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
Kim H; Choi JS; Kim K; Ko ES; Ko EY; Han BK
Eur Radiol; 2023 Oct; 33(10):7186-7198. PubMed ID: 37188881
[TBL] [Abstract][Full Text] [Related]
8. Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms.
Skaane P; Kshirsagar A; Stapleton S; Young K; Castellino RA
AJR Am J Roentgenol; 2007 Feb; 188(2):377-84. PubMed ID: 17242245
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.
Sasaki M; Tozaki M; Rodríguez-Ruiz A; Yotsumoto D; Ichiki Y; Terawaki A; Oosako S; Sagara Y; Sagara Y
Breast Cancer; 2020 Jul; 27(4):642-651. PubMed ID: 32052311
[TBL] [Abstract][Full Text] [Related]
10. Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance.
Kerschke L; Weigel S; Rodriguez-Ruiz A; Karssemeijer N; Heindel W
Eur Radiol; 2022 Feb; 32(2):842-852. PubMed ID: 34383147
[TBL] [Abstract][Full Text] [Related]
11. Investigation of optimal use of computer-aided detection systems: the role of the "machine" in decision making process.
Paquerault S; Hardy PT; Wersto N; Chen J; Smith RC
Acad Radiol; 2010 Sep; 17(9):1112-21. PubMed ID: 20605489
[TBL] [Abstract][Full Text] [Related]
12. A Semiautonomous Deep Learning System to Reduce False Positives in Screening Mammography.
Pedemonte S; Tsue T; Mombourquette B; Truong Vu YN; Matthews T; Morales Hoil R; Shah M; Ghare N; Zingman-Daniels N; Holley S; Appleton CM; Su J; Wahl RL
Radiol Artif Intell; 2024 May; 6(3):e230033. PubMed ID: 38597785
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. One-view breast tomosynthesis versus two-view mammography in the Malmö Breast Tomosynthesis Screening Trial (MBTST): a prospective, population-based, diagnostic accuracy study.
Zackrisson S; Lång K; Rosso A; Johnson K; Dustler M; Förnvik D; Förnvik H; Sartor H; Timberg P; Tingberg A; Andersson I
Lancet Oncol; 2018 Nov; 19(11):1493-1503. PubMed ID: 30322817
[TBL] [Abstract][Full Text] [Related]
15. Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.
Romero-Martín S; Elías-Cabot E; Raya-Povedano JL; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
Radiology; 2022 Mar; 302(3):535-542. PubMed ID: 34904872
[TBL] [Abstract][Full Text] [Related]
16. Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.
Mayo RC; Kent D; Sen LC; Kapoor M; Leung JWT; Watanabe AT
J Digit Imaging; 2019 Aug; 32(4):618-624. PubMed ID: 30963339
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. [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]
19. 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]
20. 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]
[Next] [New Search]