Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer.
Vu Pham Thao VyMelissa Min-Szu YaoNguyen-Quoc-Khanh LeWing P ChanPublished in: Cancers (2022)
The XGBoost model, combining clinical, mammographic, ultrasonographic, and histopathologic findings, can be used to discriminate DCIS from MIBC with an accuracy equivalent to that of experienced radiologists, thereby giving patients the widest range of therapeutic options.