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Goto Atsushi  五嶋 敦史

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GOTO Atsushi  五嶋 敦史

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Researcher Number 40771952
Other IDs
Affiliation (Current) 2026: 山口大学, 大学院医学系研究科, 助教
Affiliation (based on the past Project Information) *help 2020 – 2022: 山口大学, 大学院医学系研究科, 助教
2019: 山口大学, 医学部附属病院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 90130:Medical systems-related
Keywords
Principal Investigator
深達度診断 / 胃癌 / AIと内視鏡医の合議 / ディープラーニング / 早期胃癌
  • Research Projects

    (1 results)
  • Research Products

    (4 results)
  •  Deep Learning for Diagnosis of Gastric Cancer DepthPrincipal Investigator

    • Principal Investigator
      GOTO Atsushi
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 90130:Medical systems-related
    • Research Institution
      Yamaguchi University

All 2023 2022

All Journal Article Presentation

  • [Journal Article] Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer2022

    • Author(s)
      Goto Atsushi、Kubota Naoto、Nishikawa Jun、Ogawa Ryo、Hamabe Koichi、Hashimoto Shinichi、Ogihara Hiroyuki、Hamamoto Yoshihiko、Yanai Hideo、Miura Osamu、Takami Taro
    • Journal Title

      Gastric Cancer

      Volume: 26 Issue: 1 Pages: 116-122

    • DOI

      10.1007/s10120-022-01330-9

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20712
  • [Presentation] AIと内視鏡医の合議による早期胃癌深達度診断2023

    • Author(s)
      五嶋 敦史, 西川 潤, 浜辺 功一, 橋本 真一, 柳井 秀雄, 高見 太郎
    • Organizer
      第95回 日本胃癌学会総会
    • Data Source
      KAKENHI-PROJECT-19K20712
  • [Presentation] Diagnosis of depth of early gastric cancer by a consensus of AI and endoscopists2022

    • Author(s)
      五嶋敦史、西川潤、高見太郎
    • Organizer
      第103回日本消化器内視鏡学会総会 コアセッションシンポジウム
    • Data Source
      KAKENHI-PROJECT-19K20712
  • [Presentation] Diagnosis of depth of early gastric cancer by a consensus of AI and endoscopists2022

    • Author(s)
      五嶋敦史
    • Organizer
      第103回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-19K20712

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