Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.

Journal: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Published Date: Jan 15, 2018

Abstract

BACKGROUND: Image recognition using artificial intelligence with deep learning through convolutional neural networks (CNNs) has dramatically improved and been increasingly applied to medical fields for diagnostic imaging. We developed a CNN that can automatically detect gastric cancer in endoscopic images.

Authors

  • Toshiaki Hirasawa
    Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan. toshiaki.hirasawa@jfcr.or.jp.
  • Kazuharu Aoyama
    AI Medical Service Inc Tokyo Japan.
  • Tetsuya Tanimoto
    Navitas Clinic Kawasaki, Ekimaehonmachi 26-1, Kawasakiku, Kawasakishi, Kanagawa, 2100007, Japan. Electronic address: ttanimot@gmail.com.
  • 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.
  • Satoki Shichijo
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Tsuyoshi Ozawa
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Tatsuya Ohnishi
    Lalaport Yokohama Clinic, Kanagawa, 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.
  • Keigo Matsuo
    Department of Coloproctology, Tokatsu-Tsujinaka Hospital, Chiba, Japan.
  • Junko Fujisaki
    Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

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