Predicting 5-year recurrence risk in colorectal cancer: development and validation of a histology-based deep learning approach.

Abstract

Authors

• Han Xiao
  Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
• Zongpeng Weng
  Clinical Trials Unit, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
• Kaiyu Sun
  Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
• Jingxian Shen
  Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China.
• Jie Lin
  Department of Reproductive Medicine, Zigong Hospital of Women and Children Health Care, Zigong, China.
• Shuling Chen
  Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China. chenshling@mail.sysu.edu.cn.
• Bin Li
  Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
• Yiyu Shi
  University of Notre Dame.
• Ming Kuang
  School of Medicine, Jiangsu University, Zhenjiang 212013, China.
• Xinming Song
  Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
• Weixiang Weng
  Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. wengwx3@mail2.sysu.edu.cn.
• Sui Peng
  Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.

Keywords

External Resources