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Prediction of microvascular invasion in hepatocellular carcinoma with expert-inspiration and skeleton sharing deep learning.

Han XiaoYuchen GuoQian ZhouQiaofeng ChenQiang DuShuling ChenShunjun FuJie LinDexuan LiXinming SongSui PengYuhua HuangJingxian ShenMing Kuang
Published in: Liver international : official journal of the International Association for the Study of the Liver (2022)
We established an expert-inspired model with better predictive performance and interpretability than the traditional constructed model. Skeleton sharing process is superior to data sharing and direct model implementation in model implementation.
Keyphrases
  • deep learning
  • primary care
  • healthcare
  • social media
  • health information
  • quality improvement
  • wastewater treatment