169 related articles for article (PubMed ID: 38326868)
21. Deep learning modeling using normal mammograms for predicting breast cancer risk.
Arefan D; Mohamed AA; Berg WA; Zuley ML; Sumkin JH; Wu S
Med Phys; 2020 Jan; 47(1):110-118. PubMed ID: 31667873
[TBL] [Abstract][Full Text] [Related]
22. Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection.
Marinovich ML; Wylie E; Lotter W; Lund H; Waddell A; Madeley C; Pereira G; Houssami N
EBioMedicine; 2023 Apr; 90():104498. PubMed ID: 36863255
[TBL] [Abstract][Full Text] [Related]
23. Saliency of breast lesions in breast cancer detection using artificial intelligence.
Pertuz S; Ortega D; Suarez É; Cancino W; Africano G; Rinta-Kiikka I; Arponen O; Paris S; Lozano A
Sci Rep; 2023 Nov; 13(1):20545. PubMed ID: 37996504
[TBL] [Abstract][Full Text] [Related]
24. AI-based prevention of interval cancers in a national mammography screening program.
Byng D; Strauch B; Gnas L; Leibig C; Stephan O; Bunk S; Hecht G
Eur J Radiol; 2022 Jul; 152():110321. PubMed ID: 35512511
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture.
Lauritzen AD; von Euler-Chelpin MC; Lynge E; Vejborg I; Nielsen M; Karssemeijer N; Lillholm M
Radiology; 2023 Aug; 308(2):e230227. PubMed ID: 37642571
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. The efficacy of artificial intelligence (AI) in detecting interval cancers in the national screening program of a middle-income country.
Çelik L; Aribal E
Clin Radiol; 2024 Jul; 79(7):e885-e891. PubMed ID: 38649312
[TBL] [Abstract][Full Text] [Related]
29. Identifying normal mammograms in a large screening population using artificial intelligence.
Lång K; Dustler M; Dahlblom V; Åkesson A; Andersson I; Zackrisson S
Eur Radiol; 2021 Mar; 31(3):1687-1692. PubMed ID: 32876835
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases.
Koch HW; Larsen M; Bartsch H; Kurz KD; Hofvind S
Eur Radiol; 2023 May; 33(5):3735-3743. PubMed ID: 36917260
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Can artificial intelligence replace ultrasound as a complementary tool to mammogram for the diagnosis of the breast cancer?
Mansour S; Kamal R; Hashem L; AlKalaawy B
Br J Radiol; 2021 Dec; 94(1128):20210820. PubMed ID: 34613796
[TBL] [Abstract][Full Text] [Related]
34. Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
Marinovich ML; Wylie E; Lotter W; Pearce A; Carter SM; Lund H; Waddell A; Kim JG; Pereira GF; Lee CI; Zackrisson S; Brennan M; Houssami N
BMJ Open; 2022 Jan; 12(1):e054005. PubMed ID: 34980622
[TBL] [Abstract][Full Text] [Related]
35. Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review.
Anderson AW; Marinovich ML; Houssami N; Lowry KP; Elmore JG; Buist DSM; Hofvind S; Lee CI
J Am Coll Radiol; 2022 Feb; 19(2 Pt A):259-273. PubMed ID: 35065909
[TBL] [Abstract][Full Text] [Related]
36. Comparisons between artificial intelligence computer-aided detection synthesized mammograms and digital mammograms when used alone and in combination with tomosynthesis images in a virtual screening setting.
Uematsu T; Nakashima K; Harada TL; Nasu H; Igarashi T
Jpn J Radiol; 2023 Jan; 41(1):63-70. PubMed ID: 36068450
[TBL] [Abstract][Full Text] [Related]
37. Deep learning performance for detection and classification of microcalcifications on mammography.
Pesapane F; Trentin C; Ferrari F; Signorelli G; Tantrige P; Montesano M; Cicala C; Virgoli R; D'Acquisto S; Nicosia L; Origgi D; Cassano E
Eur Radiol Exp; 2023 Nov; 7(1):69. PubMed ID: 37934382
[TBL] [Abstract][Full Text] [Related]
38. Application of artificial intelligence-based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms.
Lee SE; Han K; Kim EK
Eur Radiol; 2021 Sep; 31(9):6929-6937. PubMed ID: 33710372
[TBL] [Abstract][Full Text] [Related]
39. Evaluation of deep learning-based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset.
Frazer HM; Qin AK; Pan H; Brotchie P
J Med Imaging Radiat Oncol; 2021 Aug; 65(5):529-537. PubMed ID: 34212526
[TBL] [Abstract][Full Text] [Related]
40. Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting.
Uematsu T; Nakashima K; Harada TL; Nasu H; Igarashi T
Breast Cancer; 2023 Jan; 30(1):46-55. PubMed ID: 36001270
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
