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A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.

Ping AnDongmei YangJing WangLianlian WuJie ZhouZhi ZengXu HuangYong XiaoShan HuYiyun ChenFang YaoMingwen GuoQi WuYanning YangHong Gang Yu
Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2020)
ENDOANGEL has the potential to assist endoscopists in delineating the resection extent of EGC under CE or WLE during ESD.
Keyphrases
  • deep learning
  • machine learning
  • convolutional neural network
  • human health
  • risk assessment
  • energy transfer