Endoscopic detection and differentiation of esophageal lesions using a deep neural network.

Journal: Gastrointestinal endoscopy
Published Date: Feb 1, 2020

Abstract

BACKGROUND AND AIMS: Diagnosing esophageal squamous cell carcinoma (SCC) depends on individual physician expertise and may be subject to interobserver variability. Therefore, we developed a computerized image-analysis system to detect and differentiate esophageal SCC.

Authors

  • Masayasu Ohmori
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Ryu Ishihara
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Kazuharu Aoyama
    AI Medical Service Inc Tokyo Japan.
  • Kentaro Nakagawa
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Hiroyoshi Iwagami
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Noriko Matsuura
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Satoki Shichijo
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Katsumi Yamamoto
    Department of Gastroenterology, Japan Community Healthcare Organization, Osaka Hospital, Osaka, Japan.
  • Koji Nagaike
    Department of Gastroenterology, Suita Municipal Hospital, Osaka, Japan.
  • Masanori Nakahara
    Department of Gastroenterology, Ikeda Municipal Hospital, Osaka, Japan.
  • Takuya Inoue
    Department of Gastroenterology, Osaka General Medical Center, Osaka, Japan.
  • Kenji Aoi
    Department of Gastroenterology, Kaiduka City Hospital, Osaka, Japan.
  • Hiroyuki Okada
    Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

Keywords

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