212 related articles for article (PubMed ID: 32369039)
21. Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level.
Lee SE; Han K; Youk JH; Lee JE; Hwang JY; Rho M; Yoon J; Kim EK; Yoon JH
Ultrasonography; 2022 Oct; 41(4):718-727. PubMed ID: 35850498
[TBL] [Abstract][Full Text] [Related]
22. Computer-aided diagnosis based on quantitative elastographic features with supersonic shear wave imaging.
Xiao Y; Zeng J; Niu L; Zeng Q; Wu T; Wang C; Zheng R; Zheng H
Ultrasound Med Biol; 2014 Feb; 40(2):275-86. PubMed ID: 24268454
[TBL] [Abstract][Full Text] [Related]
23. 1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System.
Xu X; Bao L; Tan Y; Zhu L; Kong F; Wang W
Ultrasound Med Biol; 2018 Aug; 44(8):1694-1702. PubMed ID: 29853222
[TBL] [Abstract][Full Text] [Related]
24. Computer aided classification system for breast ultrasound based on Breast Imaging Reporting and Data System (BI-RADS).
Shen WC; Chang RF; Moon WK
Ultrasound Med Biol; 2007 Nov; 33(11):1688-98. PubMed ID: 17681678
[TBL] [Abstract][Full Text] [Related]
25. Application of computer-aided diagnosis to predict malignancy in BI-RADS 3 breast lesions.
He P; Chen W; Bai MY; Li J; Wang QQ; Fan LH; Zheng J; Liu CT; Zhang XR; Yuan XR; Song PJ; Cui LG
Heliyon; 2024 Jan; 10(2):e24560. PubMed ID: 38304808
[TBL] [Abstract][Full Text] [Related]
26. Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial.
Verburg E; van Gils CH; van der Velden BHM; Bakker MF; Pijnappel RM; Veldhuis WB; Gilhuijs KGA
Invest Radiol; 2023 Apr; 58(4):293-298. PubMed ID: 36256783
[TBL] [Abstract][Full Text] [Related]
27. Improved cancer detection in automated breast ultrasound by radiologists using Computer Aided Detection.
van Zelst JCM; Tan T; Platel B; de Jong M; Steenbakkers A; Mourits M; Grivegnee A; Borelli C; Karssemeijer N; Mann RM
Eur J Radiol; 2017 Apr; 89():54-59. PubMed ID: 28267549
[TBL] [Abstract][Full Text] [Related]
28. Diagnostic performance of ultrasound with computer-aided diagnostic system in detecting breast cancer.
Song P; Zhang L; Bai L; Wang Q; Wang Y
Heliyon; 2023 Oct; 9(10):e20712. PubMed ID: 37860526
[TBL] [Abstract][Full Text] [Related]
29. Development and validation of a transformer-based CAD model for improving the consistency of BI-RADS category 3-5 nodule classification among radiologists: a multiple center study.
Ji H; Zhu Q; Ma T; Cheng Y; Zhou S; Ren W; Huang H; He W; Ran H; Ruan L; Guo Y; Tian J; Chen W; Chen L; Wang Z; Zhou Q; Niu L; Zhang W; Yang R; Chen Q; Zhang R; Wang H; Li L; Liu M; Nie F; Zhou A
Quant Imaging Med Surg; 2023 Jun; 13(6):3671-3687. PubMed ID: 37284087
[TBL] [Abstract][Full Text] [Related]
30. Combination of two-dimensional shear wave elastography with ultrasound breast imaging reporting and data system in the diagnosis of breast lesions: a new method to increase the diagnostic performance.
Li DD; Xu HX; Guo LH; Bo XW; Li XL; Wu R; Xu JM; Zhang YF; Zhang K
Eur Radiol; 2016 Sep; 26(9):3290-300. PubMed ID: 26714967
[TBL] [Abstract][Full Text] [Related]
31. A simple scoring system for breast MRI interpretation: does it compensate for reader experience?
Marino MA; Clauser P; Woitek R; Wengert GJ; Kapetas P; Bernathova M; Pinker-Domenig K; Helbich TH; Preidler K; Baltzer PA
Eur Radiol; 2016 Aug; 26(8):2529-37. PubMed ID: 26511631
[TBL] [Abstract][Full Text] [Related]
32. Clinical Application of Computer-Aided Diagnosis for Breast Ultrasonography: Factors That Lead to Discordant Results in Radial and Antiradial Planes.
Zhu Y; Zhan W; Jia X; Liu J; Zhou J
Cancer Manag Res; 2022; 14():751-760. PubMed ID: 35237075
[TBL] [Abstract][Full Text] [Related]
33. Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue.
Jiang Y; Inciardi MF; Edwards AV; Papaioannou J
AJR Am J Roentgenol; 2018 Aug; 211(2):452-461. PubMed ID: 29792747
[TBL] [Abstract][Full Text] [Related]
34. A computer-aided diagnosis system for breast ultrasound based on weighted BI-RADS classes.
Rodríguez-Cristerna A; Gómez-Flores W; de Albuquerque Pereira WC
Comput Methods Programs Biomed; 2018 Jan; 153():33-40. PubMed ID: 29157459
[TBL] [Abstract][Full Text] [Related]
35. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection.
Rubin GD; Lyo JK; Paik DS; Sherbondy AJ; Chow LC; Leung AN; Mindelzun R; Schraedley-Desmond PK; Zinck SE; Naidich DP; Napel S
Radiology; 2005 Jan; 234(1):274-83. PubMed ID: 15537839
[TBL] [Abstract][Full Text] [Related]
36. Application of computer-aided diagnosis for Lung-RADS categorization in CT screening for lung cancer: effect on inter-reader agreement.
Park S; Park H; Lee SM; Ahn Y; Kim W; Jung K; Seo JB
Eur Radiol; 2022 Feb; 32(2):1054-1064. PubMed ID: 34331112
[TBL] [Abstract][Full Text] [Related]
37. CAD algorithms for solid breast masses discrimination: evaluation of the accuracy and interobserver variability.
Wang Y; Jiang S; Wang H; Guo YH; Liu B; Hou Y; Cheng H; Tian J
Ultrasound Med Biol; 2010 Aug; 36(8):1273-81. PubMed ID: 20691917
[TBL] [Abstract][Full Text] [Related]
38. Evaluation of computer-aided diagnosis in breast ultrasonography: Improvement in diagnostic performance of inexperienced radiologists.
Nicosia L; Addante F; Bozzini AC; Latronico A; Montesano M; Meneghetti L; Tettamanzi F; Frassoni S; Bagnardi V; De Santis R; Pesapane F; Fodor CI; Mastropasqua MG; Cassano E
Clin Imaging; 2022 Feb; 82():150-155. PubMed ID: 34826773
[TBL] [Abstract][Full Text] [Related]
39. Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.
Marten K; Seyfarth T; Auer F; Wiener E; Grillhösl A; Obenauer S; Rummeny EJ; Engelke C
Eur Radiol; 2004 Oct; 14(10):1930-8. PubMed ID: 15235812
[TBL] [Abstract][Full Text] [Related]
40. Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Yu TF; He W; Gan CG; Zhao MC; Zhu Q; Zhang W; Wang H; Luo YK; Nie F; Yuan LJ; Wang Y; Guo YL; Yuan JJ; Ruan LT; Wang YC; Zhang RF; Zhang HX; Ning B; Song HM; Zheng S; Li Y; Guang Y
Chin Med J (Engl); 2021 Jan; 134(4):415-424. PubMed ID: 33617184
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
