Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.

Abstract

Authors

• Haotian Liao
  Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
• Tianyuan Xiong
  Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
• Jiajie Peng
  School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. jiajiepeng@hit.edu.cn.
• Lin Xu
  Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
• Mingheng Liao
  Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
• Zhen Zhang
  School of Pharmacy, Jining Medical University, Rizhao, Shandong, China.
• Zhenru Wu
  Laboratory of Pathology, Department of Pathology, West China Hospital, Sichuan University, Chengdu, China.
• Kefei Yuan
  Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China. ykf13@163.com.
• Yong Zeng
  a College of Pharmacy , Chengdu University of Traditional Chinese Medicine , Chengdu , P.R. China.

Keywords

External Resources