Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

Journal: Journal of gastroenterology and hepatology
PMID: 31758717

Abstract

BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible bleeding in the reading system. We aim to develop a deep learning-based system to detect blood content in images and compare its performance with that of the SBI.

Authors

  • 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.
  • Yusuke Kato
    AI Medical Service Inc., Tokyo, Japan.
  • Hiroaki Saito
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Akiyoshi Tsuboi
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Ayako Nakada
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ryota Niikura
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, 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.
  • Shiro Oka
    Department of Gastroenterology & Metabolism, Hiroshima University Hospital, Hiroshima, 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.
  • Tomoki Matsuda
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Masato Nakahori
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Shinji Tanaka
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Kazuhiko Koike
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

Keywords

External Resources

Popular Topics
Recent Journals