Quantitative evaluation of chronically obstructed kidneys from noncontrast computed tomography based on deep learning.

Abstract

Authors

• Zhaonan Sun
  Department of Radiology, Peking University First Hospital, 8, Xishiku Street, Xicheng District, Beijing, 100034, China.
• Yingpu Cui
  Department of Radiology, Peking University First Hospital, 8, Xishiku Street, Xicheng District, Beijing, 100034, China.
• Xiang Liu
  College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Anhui Jianzhu University, Hefei 230009, China.
• Zhiyong Lin
  Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510006, China.
• Weipeng Liu
  College of Materials and Energy, South China Agricultural University, Guangzhou, 510642, China.
• Xiangpeng Wang
  Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China.
• Jingyuan Zhang
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.
• Xiaodong Zhang
  The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China.
• XiaoYing Wang

Keywords

External Resources