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Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.

Hiroya UeyamaYusuke KatoYoichi AkazawaNoboru YatagaiHiroyuki KomoriTsutomu TakedaKohei MatsumotoKumiko UedaKenshi MatsumotoMariko HojoTakashi YaoAkihito NagaharaTomohiro Tada
Published in: Journal of gastroenterology and hepatology (2020)
The AI-assisted CNN-CAD system for ME-NBI diagnosis of EGC could process many stored ME-NBI images in a short period of time and had a high diagnostic ability. This system may have great potential for future application to real clinical settings, which could facilitate ME-NBI diagnosis of EGC in practice.
Keyphrases
  • convolutional neural network
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • healthcare
  • high resolution
  • risk assessment
  • current status
  • human health