一个深度学习决策支持工具,以改善风险分层和减少BI-RADS中的不必要的活检 4 乳房影像

Chika F Ezeana¹, Tiancheng He¹, Tejal A Patel¹+17

• ¹From the Department of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, Tex (C.F.E., T.H., L.W., S.T.C.W.); Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, Tex (J.E., J.C.C.); Departments of General Oncology (T.A.P.), Health Services Research (Y.C.T.S., B.K., I.W.P.), and Radiology (D.S., W.T.Y.), University of Texas MD Anderson Cancer Center, Houston, Tex; University of Texas Health Science Center, San Antonio, Tex (V.K., M.E., E.B., P.M.O., K.A.K.); University of the Incarnate Word School of Osteopathic Medicine, San Antonio, Tex (H.S.); Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah (A.L.C., K.K.); and Department of Radiology, Houston Methodist Hospital, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030 (S.T.C.W.).