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An ultrasound image-based deep multi-scale texture network for liver fibrosis grading in patients with chronic HBV infection.

Dongsheng RuanYu ShiLinfeng JinQiao YangWenwen YuHaotang RenWeiyang ZhengYongping ChenNenggan ZhengMin Zheng
Published in: Liver international : official journal of the International Association for the Study of the Liver (2021)
The proposed MSTNet is a promising ultrasound image-based method for the non-invasive grading of liver fibrosis in patients with chronic HBV infection.
Keyphrases
  • liver fibrosis
  • hepatitis b virus
  • magnetic resonance imaging
  • deep learning
  • liver failure
  • ultrasound guided
  • computed tomography
  • contrast enhanced