A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.

Abstract

Authors

• Yanghuang Zheng
  Department of Urology, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
• Hongjin Shi
  Department of Urology, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
• Shi Fu
  Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Yunnan, 650106, China. Electronic address: fushi@kmmu.edu.cn.
• Haifeng Wang
  Collaborative Innovation Center of Seafood Deep Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, 310012, China.
• Jincheng Wang
  Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
• Xin Li
  Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
• Zhi Li
  Department of Nursing, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, China.
• Bing Hai
  Department of Respiratory Medicine, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
• Jinsong Zhang
  Department of Emergency, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China. zhangjso@njmu.edu.cn.

Keywords

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