Development of Deep Learning-Based Virtual Lugol Chromoendoscopy for Superficial Esophageal Squamous Cell Carcinoma.

Journal: Journal of gastroenterology and hepatology
PMID: 39687978

Abstract

BACKGROUND: Lugol chromoendoscopy has been shown to increase the sensitivity of detection of esophageal squamous cell carcinoma (ESCC). We aimed to develop a deep learning-based virtual lugol chromoendoscopy (V-LCE) method.

Authors

  • Yosuke Toya
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba, Japan.
  • Sho Suzuki
    Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, 6-1-14, Konodai, Ichikawa-Shi, Chiba, 272-0827, Japan. s.sho.salubriter.mail@gmail.com.
  • Yusuke Monno
    Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
  • Ryo Arai
    Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
  • Takahiro Dohmen
    Department of Gastroenterology, Yuri Kumiai General Hospital, Yurihonjo, Japan.
  • Makoto Eizuka
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan.
  • Masatoshi Okutomi
    Tokyo Institute of Technology, Tokyo, Japan. Electronic address: mxo@sc.e.titech.ac.jp.
  • Takayuki Matsumoto
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan.

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