A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening

Liu, HH; Chen, YH; Zhang, YZ; Wang, LJ; Luo, R; Wu, HT; Wu, CQ; Zhang, HL; Tan, WX; Yin, HK; Wang, DB

Wang, DB (corresponding author), Shanghai Jiao Tong Univ, Xinhua Hosp, Dept Radiol, Sch Med, 1665 Kongjiang Rd, Shanghai 200092, Peoples R China.

EUROPEAN RADIOLOGY, 2021; 31 (8): 5902

Abstract

Objectives To investigate the value of full-field digital mammography-based deep learning (DL) in predicting malignancy of Breast Imaging Reporting an......

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