A deep learning model integrating multi-phenotypic features of microcalcifications enhances malignancy prediction for BI-RADS 4 microcalcifications in mammography: a multicenter study
Some Breast Imaging Reporting and Data System (BI-RADS) 4 category microcalcifications (MCs) exhibit atypical or overlapping characteristics in terms of morphology and distribution, posing a diagnostic challenge for doctors. The aim was to develop and evaluate a deep learning (DL) model for predicting the malignancy of...