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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Yoshitaka TokaiToshiyuki YoshioKazuharu AoyamaYoshimasa HorieShoichi YoshimizuYusuke HoriuchiAkiyoshi IshiyamaTomohiro TsuchidaToshiaki HirasawaYuko SakakibaraTakuya YamadaShinjiro YamaguchiJunko FujisakiTomohiro Tada
Published in: Esophagus : official journal of the Japan Esophageal Society (2020)
The AI-diagnostic system demonstrated a higher diagnostic accuracy for ESCC invasion depth than those of endoscopists and, therefore, can be potentially used in ESCC diagnostics.
Keyphrases
  • artificial intelligence
  • convolutional neural network
  • deep learning
  • big data
  • cell migration
  • machine learning
  • optical coherence tomography