Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.

Journal: Journal of gastroenterology and hepatology
Published Date: Nov 25, 2021

Abstract

BACKGROUND AND AIM: Recently, artificial intelligence (AI) has been used in endoscopic examination and is expected to help in endoscopic diagnosis. We evaluated the feasibility of AI using convolutional neural network (CNN) systems for evaluating the depth of invasion of early gastric cancer (EGC), based on endoscopic images.

Authors

  • Kenta Hamada
    Department of Endoscopy, Okayama University Hospital, Okayama, Japan.
  • Yoshiro Kawahara
    Department of Practical Gastrointestinal Endoscopy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Takayoshi Tanimoto
    Business Strategy Division, Ryobi Systems Co., Ltd., Okayama, Japan.
  • Akimitsu Ohto
    Health Care Company, Ryobi Systems Co., Ltd., Okayama, Japan.
  • Akira Toda
    Business Strategy Division, Ryobi Systems Co., Ltd., Okayama, Japan.
  • Toshiaki Aida
    Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama, Japan.
  • Yasushi Yamasaki
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Tatsuhiro Gotoda
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Taiji Ogawa
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Makoto Abe
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Shotaro Okanoue
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Kensuke Takei
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Satoru Kikuchi
    Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Shinji Kuroda
    Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Toshiyoshi Fujiwara
    Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Hiroyuki Okada
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Keywords

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