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A deep learning network based on multi-scale and attention for the diagnosis of chronic atrophic gastritis.

Yanwen ChongNingdi XieXin LiuMeng ZhangFengxing HuangJun FangFan WangShaoming PanHaihang NieQiu Zhao
Published in: Zeitschrift fur Gastroenterologie (2022)
Highly similar images of chronic atrophic gastritis can be identified by the proposed MWA-net, which has a better performance than other well-known networks. This work can further reduce the workload of gastroscopists, simplify the diagnostic process and provide medical assistance to more residents.
Keyphrases
  • deep learning
  • helicobacter pylori
  • helicobacter pylori infection
  • convolutional neural network
  • healthcare
  • artificial intelligence
  • machine learning
  • working memory
  • drug induced