A model based on clinico-biochemical characteristics and deep learning features from MR images for assessing necroinflammatory activity in chronic hepatitis B.

Abstract

Authors

• Shuaitong Zhang
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
• Zhiyuan Chen
  Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
• Jingwei Wei
  Animal Reproduction Institute, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, China.
• Xiaoling Chi
  Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
• Dongjing Zhou
  Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
• Shuman Ouyang
  Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
• Jing Peng
• Huanming Xiao
  Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
• Jie Tian
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Yupin Liu
  Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Keywords

External Resources