Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer.

Journal: Digestive diseases (Basel, Switzerland)
PMID: 39102801

Abstract

INTRODUCTION: Esophagogastroduodenoscopy is the most important tool to detect gastric cancer (GC). In this study, we developed a computer-aided detection (CADe) system to detect GC with white light imaging (WLI) and linked color imaging (LCI) modes and aimed to compare the performance of CADe with that of endoscopists.

Authors

  • Youshen Zhao
    Graduate School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, Japan.
  • Osamu Dohi
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Tsugitaka Ishida
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Naohisa Yoshida
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Tomoko Ochiai
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Hiroki Mukai
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Mayuko Seya
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Katsuma Yamauchi
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Hajime Miyazaki
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Hayato Fukui
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Takeshi Yasuda
    Department of Gastroenterology, Asahi University Hospital, Gifu, Japan.
  • Naoto Iwai
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Ken Inoue
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Yoshito Itoh
    Department of Gastroenterology and HepatologyKyoto Prefectural University of MedicineKyotoJapan.
  • Xinkai Liu
    Graduate School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, Japan.
  • RuiYao Zhang
    School of Literature and Journalism, Shandong University of Finance and Economics, JiNan 250014, China.
  • Xin Zhu
    Biomedical Information Engineering Lab, The University of Aizu, Fukushima, Japan.

Keywords

External Resources

Popular Topics
Recent Journals