Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Published Date: Oct 2, 2019

Abstract

BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding, a computer-aided detection method has not been established. We developed an artificial intelligence system with deep learning that can automatically detect small-bowel angioectasia in CE images.

Authors

  • Akiyoshi Tsuboi
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Shiro Oka
    Department of Gastroenterology & Metabolism, Hiroshima University Hospital, Hiroshima, Japan.
  • Kazuharu Aoyama
    AI Medical Service Inc Tokyo Japan.
  • Hiroaki Saito
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Tomonori Aoki
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Atsuo Yamada
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tomoki Matsuda
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Mitsuhiro Fujishiro
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Endoscopy and Endoscopic Surgery, The University of Tokyo, Tokyo, Japan.
  • Soichiro Ishihara
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan; Surgery Department, Sanno Hospital, International University of Health and Welfare, Tokyo, Japan; Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Masato Nakahori
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Kazuhiko Koike
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Shinji Tanaka
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

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