Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images.

Gastroenterology Pathology
Journal: Scandinavian journal of gastroenterology
Published Date: Mar 17, 2019

Abstract

BACKGROUND AND AIM: We recently reported the role of artificial intelligence in the diagnosis of Helicobacter pylori (H. pylori) gastritis on the basis of endoscopic images. However, that study included only H. pylori-positive and -negative patients, excluding patients after H. pylori-eradication. In this study, we constructed a convolutional neural network (CNN) and evaluated its ability to ascertain all H. pylori infection statuses.

Authors

  • Satoki Shichijo
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Yuma Endo
    AI Medical Service Inc., Tokyo, Japan.
  • Kazuharu Aoyama
    AI Medical Service Inc Tokyo Japan.
  • Yoshinori Takeuchi
    c Department of Biostatistics , School of Public Health, Graduate School of Medicine, University of Tokyo , Tokyo , Japan.
  • Tsuyoshi Ozawa
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Hirotoshi Takiyama
    e Hospital of National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology , Chiba , Japan.
  • Keigo Matsuo
    Department of Coloproctology, Tokatsu-Tsujinaka Hospital, Chiba, 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.
  • Ryu Ishihara
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

Keywords

External Resources

Popular Topics
Recent Journals