257 related articles for article (PubMed ID: 33432076)
21. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.
Patel BK; Ranjbar S; Wu T; Pockaj BA; Li J; Zhang N; Lobbes M; Zhang B; Mitchell JR
Eur J Radiol; 2018 Jan; 98():207-213. PubMed ID: 29279165
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of the effect of computer aided diagnosis system on breast ultrasound for inexperienced radiologists in describing and determining breast lesions.
Lee J; Kim S; Kang BJ; Kim SH; Park GE
Med Ultrason; 2019 Aug; 21(3):239-245. PubMed ID: 31476202
[TBL] [Abstract][Full Text] [Related]
23. A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.
Liu H; Chen Y; Zhang Y; Wang L; Luo R; Wu H; Wu C; Zhang H; Tan W; Yin H; Wang D
Eur Radiol; 2021 Aug; 31(8):5902-5912. PubMed ID: 33496829
[TBL] [Abstract][Full Text] [Related]
24. A case-oriented web-based training system for breast cancer diagnosis.
Huang Q; Huang X; Liu L; Lin Y; Long X; Li X
Comput Methods Programs Biomed; 2018 Mar; 156():73-83. PubMed ID: 29428078
[TBL] [Abstract][Full Text] [Related]
25. The Role of a Deep Learning-Based Computer-Aided Diagnosis System and Elastography in Reducing Unnecessary Breast Lesion Biopsies.
Wang Y; Tang L; Chen P; Chen M
Clin Breast Cancer; 2023 Apr; 23(3):e112-e121. PubMed ID: 36653206
[TBL] [Abstract][Full Text] [Related]
26. Application of Computer-Aided Diagnosis on Breast Ultrasonography: Evaluation of Diagnostic Performances and Agreement of Radiologists According to Different Levels of Experience.
Cho E; Kim EK; Song MK; Yoon JH
J Ultrasound Med; 2018 Jan; 37(1):209-216. PubMed ID: 28762552
[TBL] [Abstract][Full Text] [Related]
27. Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients.
Xiao M; Zhao C; Li J; Zhang J; Liu H; Wang M; Ouyang Y; Zhang Y; Jiang Y; Zhu Q
Front Oncol; 2020; 10():1070. PubMed ID: 32733799
[No Abstract] [Full Text] [Related]
28. Computer-aided detection of breast masses: four-view strategy for screening mammography.
Wei J; Chan HP; Zhou C; Wu YT; Sahiner B; Hadjiiski LM; Roubidoux MA; Helvie MA
Med Phys; 2011 Apr; 38(4):1867-76. PubMed ID: 21626920
[TBL] [Abstract][Full Text] [Related]
29. Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.
Kim J; Kim HJ; Kim C; Lee JH; Kim KW; Park YM; Kim HW; Ki SY; Kim YM; Kim WH
Sci Rep; 2021 Dec; 11(1):24382. PubMed ID: 34934144
[TBL] [Abstract][Full Text] [Related]
30. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
Li L; Liu Z; Huang H; Lin M; Luo D
Thorac Cancer; 2019 Feb; 10(2):183-192. PubMed ID: 30536611
[TBL] [Abstract][Full Text] [Related]
31. The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process.
Elter M; Schulz-Wendtland R; Wittenberg T
Med Phys; 2007 Nov; 34(11):4164-72. PubMed ID: 18072480
[TBL] [Abstract][Full Text] [Related]
32. Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.
Sahiner B; Chan HP; Roubidoux MA; Hadjiiski LM; Helvie MA; Paramagul C; Bailey J; Nees AV; Blane C
Radiology; 2007 Mar; 242(3):716-24. PubMed ID: 17244717
[TBL] [Abstract][Full Text] [Related]
33. Can a Computer-Aided Mass Diagnosis Model Based on Perceptive Features Learned From Quantitative Mammography Radiology Reports Improve Junior Radiologists' Diagnosis Performance? An Observer Study.
He Z; Li Y; Zeng W; Xu W; Liu J; Ma X; Wei J; Zeng H; Xu Z; Wang S; Wen C; Wu J; Feng C; Ma M; Qin G; Lu Y; Chen W
Front Oncol; 2021; 11():773389. PubMed ID: 34976817
[TBL] [Abstract][Full Text] [Related]
34. Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications.
Lei C; Wei W; Liu Z; Xiong Q; Yang C; Yang M; Zhang L; Zhu T; Zhuang X; Liu C; Liu Z; Tian J; Wang K
Eur J Radiol; 2019 Dec; 121():108711. PubMed ID: 31677544
[TBL] [Abstract][Full Text] [Related]
35. Multiple Bilateral Circumscribed Masses at Screening Breast Ultrasound: Outcomes of New or Enlarging Masses at Follow-Up.
Wolfson S; Heller SL; Gao Y
AJR Am J Roentgenol; 2022 Mar; 218(3):435-443. PubMed ID: 34549605
[No Abstract] [Full Text] [Related]
36. 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]
37. 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]
38. Improvement in radiologists' characterization of malignant and benign breast masses on serial mammograms with computer-aided diagnosis: an ROC study.
Hadjiiski L; Chan HP; Sahiner B; Helvie MA; Roubidoux MA; Blane C; Paramagul C; Petrick N; Bailey J; Klein K; Foster M; Patterson S; Adler D; Nees A; Shen J
Radiology; 2004 Oct; 233(1):255-65. PubMed ID: 15317954
[TBL] [Abstract][Full Text] [Related]
39. Clinical Application of Computer-Aided Diagnosis System in Breast Ultrasound: A Prospective Multicenter Study.
He P; Chen W; Bai MY; Li J; Wang QQ; Fan LH; Zheng J; Liu CT; Zhang XR; Yuan XR; Song PJ; Cui LG
World J Surg; 2023 Dec; 47(12):3205-3213. PubMed ID: 37805926
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
