A Multimodal Deep Learning Nomogram for the Identification of Clinically Significant Prostate Cancer in Patients with Gray-Zone PSA Levels: Comparison with Clinical and Radiomics Models.

Abstract

Authors

• Tong Chen
  Centre for Experimental Studies and Research, the first Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
• Wei Hu
  State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.
• Yueyue Zhang
  Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China.
• Chaogang Wei
  Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China (T.C., Y.Z., C.W., W.Z., X.S., C.Z., J.S.).
• Wenlu Zhao
  Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China (T.C., Y.Z., C.W., W.Z., X.S., C.Z., J.S.).
• Xiaohong Shen
  Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China (T.C., Y.Z., C.W., W.Z., X.S., C.Z., J.S.).
• Caiyuan Zhang
  Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China (T.C., Y.Z., C.W., W.Z., X.S., C.Z., J.S.).
• Junkang Shen
  Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China.

Keywords

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