Development and validation of a deep learning model for predicting gastric cancer recurrence based on CT imaging: a multicenter study.

Abstract

Authors

• Mengxuan Cao
  Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.
• Can Hu
  Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
• Feng Li
  Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
• Jingyang He
  Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.
• Enze Li
  Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Ruolan Zhang
  Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.
• Wenyi Shi
  Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou.
• Yanqiang Zhang
  Industrial Research Institute of Robotics and Intelligent Equipment, Harbin Institute of Technology, Weihai 264209, China. 15732031132@163.com.
• Yu Zhang
  College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
• Qing Yang
  School of Nursing, Chengdu Medical College, Chengdu, China.
• Qianyu Zhao
  Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.
• Lei Shi
• Zhiyuan Xu
  Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, 13210.
• Xiangdong Cheng
  Department of Gastric Surgery.

Keywords

External Resources