AutoFibroNet: A deep learning and multi-photon microscopy-derived automated network for liver fibrosis quantification in MAFLD.

Journal: Alimentary pharmacology & therapeutics
Published Date:

Abstract

BACKGROUND: Liver fibrosis is the strongest histological risk factor for liver-related complications and mortality in metabolic dysfunction-associated fatty liver disease (MAFLD). Second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) is a powerful tool for label-free two-dimensional and three-dimensional tissue visualisation that shows promise in liver fibrosis assessment.

Authors

  • Huiling Zhan
    School of Science, Jimei University, Xiamen, China.
  • Siyu Chen
    School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China.
  • Feng Gao
    Department of Statistics, UCLA, Los Angeles, CA 90095, USA.
  • Guangxing Wang
    School of Civil Engineering, The University of Queensland, Brisbane St. Lucia, QLD 4072, Australia. guangxing.wang@uq.edu.au.
  • Sui-Dan Chen
    Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Gangqin Xi
    School of Science, Jimei University, Xiamen, China.
  • Hai-Yang Yuan
    MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Xiaolu Li
    Department of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
  • Wen-Yue Liu
    Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Christopher D Byrne
    Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton and University of Southampton, Southampton General Hospital, Southampton, UK.
  • Giovanni Targher
    Department of Medicine, University of Verona, Verona, Italy.
  • Miao-Yang Chen
    Department of Liver Diseases, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
  • Yong-Feng Yang
    Department of Liver Diseases, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Zhiwen Fan
    Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Fujian, China.
  • Xitai Sun
    Department of Metabolic and Bariatric Surgery, The Affiliated Drum Tower Hospital of Nanjing University, Medical School, Nanjing, China.
  • Guorong Cai
    College of Computer Engineering, Jimei University, Xiamen, China.
  • Ming-Hua Zheng
    MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Shuangmu Zhuo
    Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education and Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, P.R. China.