A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy.

Abstract

Authors

• Kang Wang
  Department of Orthopedics, Third Hospital of Changsha, Changsha 410015.
• Yanjun Xiang
  Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
• Jiangpeng Yan
  Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.
• Yuyao Zhu
  Department of Pathology, Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
• Hanbo Chen
  Allen Institute for Brain Science, Seattle, WA, USA. cojoc.chen@gmail.com.
• Hongming Yu
  Department of Radiology, the Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.
• Yuqiang Cheng
  Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
• Xiu Li
  Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.
• Wei Dong
  Department of Cardiology, Chinese PLA General Hospital, Beijing, China.
• Yan Ji
  Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China.
• Jingjing Li
  Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
• Dong Xie
  Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
• Wan Yee Lau
  Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China. josephlau@cuhk.edu.hk.
• Jianhua Yao
• Shuqun Cheng
  Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Shanghai, China. chengshuqun@aliyun.com.

Keywords

External Resources