Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study.

Journal: Hepatology international
Published Date: Mar 29, 2022

Abstract

BACKGROUND: There is a growing need for new improved classifiers of prognosis in hepatocellular carcinoma (HCC) patients to stratify them effectively.

Authors

  • Zhikun Liu
    Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 261 HuanSha Road, Hangzhou, 310006, China.
  • Yuanpeng Liu
    Department of Electrical Engineering and Computer Science, Syracuse University, 4-206 Center for Science and Technology, Syracuse, NY, 13244-4100, USA.
  • Wenhui Zhang
    Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 261 HuanSha Road, Hangzhou, 310006, China.
  • Yuan Hong
  • Jinwen Meng
    Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 261 HuanSha Road, Hangzhou, 310006, China.
  • Jianguo Wang
  • Shusen Zheng
  • Xiao Xu
    State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

Keywords

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