Development of high-quality artificial intelligence for computer-aided diagnosis in determining subtypes of colorectal cancer.

Journal: Journal of gastroenterology and hepatology
Published Date: Jun 26, 2024

Abstract

BACKGROUND AND AIM: There are no previous studies in which computer-aided diagnosis (CAD) diagnosed colorectal cancer (CRC) subtypes correctly. In this study, we developed an original CAD for the diagnosis of CRC subtypes.

Authors

  • Weihao Weng
    Graduate School of Computer Science and Engineering, The University of Aizu.
  • Naohisa Yoshida
    Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Yukiko Morinaga
    Department of Surgical Pathology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Satoshi Sugino
    Department of Gastroenterology, Asahi University Hospital, Gifu, Japan.
  • Yuri Tomita
    Department of Gastroenterology, Koseikai Takeda Hospital, Kyoto, Japan.
  • Reo Kobayashi
    Department of 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.
  • Ryohei Hirose
    Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Osamu Dohi
    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.
  • Xin Zhu
    Biomedical Information Engineering Lab, The University of Aizu, Fukushima, Japan.

Keywords

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