通过整合放射学报告信息来促进可解释的大脑MRI损伤检测的深度学习

Lisong Dai¹, Jiayu Lei¹, Fenglong Ma¹+15

• ¹From the Institute of Diagnostic and Interventional Radiology (L.D., Z.S., H.D., J.J., D.W., G.T., X.S., J.Z., Q.Z., Y.L.) and Clinical Research Center (J.W.), Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai 200000, China; Shanghai AI Laboratory, Shanghai, China (J.L., Y.Z.); School of Computer Science and Technology, University of Science and Technology of China, Anhui, China (J.L.); The Pennsylvania State University College of Information Sciences and Technology, University Park, Pa (F.M.); Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China (H.Z.); Department of Radiology, Affiliated Hospital of Nantong University, Nantong, China (J.J.); Department of Radiology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China (S.A.); Department of Radiology, Shanghai Public Health Clinical Center, Shanghai, China (A.S.); Department of Radiology, Wuhan Hankou Hospital, Wuhan, China (Z.L.); and Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China (Y.Z.).