Advanced liver fibrosis detection using a two-stage deep learning approach on standard T2-weighted MRI.

Journal: Abdominal radiology (New York)
Published Date: Aug 19, 2025

Abstract

OBJECTIVES: To develop and validate a deep learning model for automated detection of advanced liver fibrosis using standard T2-weighted MRI.

Authors

  • Pankaj Gupta
    Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
  • Shravya Singh
    Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Ajay Gulati
    Institute of Medical Education and Research, Chandigarh, India.
  • Niharika Dutta
    Institute of Medical Education and Research, Chandigarh, India.
  • Yashika Aggarwal
    Institute of Medical Education and Research, Chandigarh, India.
  • Naveen Kalra
    Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
  • Madhumita Premkumar
    Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Sunil Taneja
    Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Nipun Verma
    Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Arka De
    Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Ajay Duseja
    Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

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