A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma.

Journal: Medical physics
Published Date: Dec 10, 2022

Abstract

BACKGROUND: Histopathological grading is a significant risk factor for postsurgical recurrence in hepatocellular carcinoma (HCC). Preoperative knowledge of histopathological grading could provide instructive guidance for individualized treatment decision-making in HCC management.

Authors

  • Jingwei Wei
    Animal Reproduction Institute, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, China.
  • Qian Ji
    Oriental Organ Transplant Center of Tianjin First Central Hospital, Tianjin, China.
  • Yu Gao
    Department of Radiology Center, The First Affiliated Hospital of Xinxiang Medical University, Xin Xiang, China.
  • Xiaozhen Yang
    Center of Interventional Oncology and Liver Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Donghui Guo
    Department of Electronic Engineering, Xiamen University, Fujian 361005, China. Electronic address: dhguo@xmu.edu.cn.
  • Dongsheng Gu
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Chunwang Yuan
    Center of Interventional Oncology and Liver Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Dawei Ding
    School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, P.R. China.

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