对先前开发的基于深度学习的前列腺损伤检测算法在配对的外部和内部双参数MRI扫描上进行外部验证

Enis C Yilmaz¹, Stephanie A Harmon¹, Yan Mee Law¹+20

• ¹From the Molecular Imaging Branch (E.C.Y., S.A.H., M.J.B., Y.L., D.G.G., K.B.O., N.S.L., P.E., P.L.C., B.T.), Biometric Research Program, Division of Cancer Treatment and Diagnosis (E.P.H.), Center for Interventional Oncology (L.A.H., C.G., B.J.W.), Department of Radiology, Clinical Center (L.A.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.); and NVIDIA Corporation, Santa Clara, Calif (D.Y., Z.X., J.T., D.X.).