Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.

Abstract

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.
• Kazuharu Aoyama
  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.
• 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