Two-step artificial intelligence algorithm for liver segmentation automates anatomic virtual hepatectomy.

Journal: Journal of hepato-biliary-pancreatic sciences
PMID: 37747080

Abstract

BACKGROUND: Anatomic virtual hepatectomy with precise liver segmentation for hemilivers, sectors, or Couinaud's segments using conventional three-dimensional simulation is not automated and artificial intelligence (AI)-based algorithms have not yet been applied.

Authors

  • Yusuke Kazami
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Junichi Kaneko
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Deepak Keshwani
    Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan.
  • Yoshiro Kitamura
    Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan.
  • Ryugen Takahashi
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yuichiro Mihara
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Akihiko Ichida
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yoshikuni Kawaguchi
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Nobuhisa Akamatsu
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Kiyoshi Hasegawa
    Chugai Pharmaceutical Company, Kamakura Research Laboratories, 200 Kajiwara, Kamakura, Kanagawa, 247-8530, Japan.

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