深度学习模型的开发和验证,以减少基于MRI的前列腺癌诊断中直肠人工物的干扰

Lei Hu¹, Xiangyu Guo¹, Dawei Zhou¹+14

• ¹From the Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Sciences, Guangzhou, China (L.H.); Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou 510080, China (L.H., Z.W.S., C.H., C.L., Z.L.); Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (L.H., Z.W.S., C.H., C.L., Z.L.); Department of TPS Algorithm, Xi'an OUR United Corporation, Xi'an, China (X.G.); State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China (D.Z.); Department of Radiology, Yichang Central People's Hospital Affiliated to the First Clinical Medical College of Three Gorges University, Yichang, China (Z.W., C.Y.); Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China (L.D., H.L., J.Z., Yuehua Li); and Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China (L.L., Ying Li, T.Z., Y.Z.).