Ultrasound image-based contrastive fusion non-invasive liver fibrosis staging algorithm.

Journal: Abdominal radiology (New York)
Published Date: May 29, 2025

Abstract

OBJECTIVE: The diagnosis of liver fibrosis is usually based on histopathological examination of liver puncture specimens. Although liver puncture is accurate, it has invasive risks and high economic costs, which are difficult for some patients to accept. Therefore, this study uses deep learning technology to build a liver fibrosis diagnosis model to achieve non-invasive staging of liver fibrosis, avoid complications, and reduce costs.

Authors

  • Xinyi Dong
    Joint International Research Laboratory of Atmospheric and Earth System Sciences and Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.
  • Qinxiang Tan
    Shenzhen Hospital, Beijing University of Chinese Medicine, Shenzhen, China.
  • Shu Xu
    Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, China.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Mingqiang Zhou
    Shenzhen Hospital, Beijing University of Chinese Medicine, Shenzhen, China. 2036095653@qq.com.

Keywords

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