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Tsubosita Yukihiro  坪下 幸寛

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Tsuboshita Yukihiro  坪下 幸寛

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Researcher Number 50910634
Other IDs
Affiliation (Current) 2025: 杏林大学, その他部局等, 教授
Affiliation (based on the past Project Information) *help 2024: 杏林大学, その他部局等, 教授
2022: 杏林大学, その他部局等, 教授
2021: 杏林大学, 保健学部, 教授
Review Section/Research Field
Principal Investigator
Basic Section 58020:Hygiene and public health-related: including laboratory approach / 1002:Human informatics, applied informatics and related fields
Except Principal Investigator
Basic Section 64040:Social-ecological systems-related / Basic Section 56060:Ophthalmology-related
Keywords
Principal Investigator
画像認識 / 細胞診 / 子宮頸がん検診 / 深層学習 / HPV判別 / 人工知能 / 子宮頸がん / 顕微鏡画像 / 組織診 / 自動診断 / 機械学習 … More
Except Principal Investigator
… More 翅多型 / 甲虫目 / 深層学習 / 洪水攪乱 / 生物指標 / 人工知能 / 加齢黄斑変性 Less
  • Research Projects

    (4 results)
  • Research Products

    (2 results)
  • Co-Researchers

    (5 People)
  •  疾患活動性を自動判定する人工知能型診療支援システムの開発

    • Principal Investigator
      片岡 恵子
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 56060:Ophthalmology-related
    • Research Institution
      Kyorin University
  •  Study of image recognition AI to estimate cervical HPV infection from WSI images obtained by cytological diagnosisPrincipal Investigator

    • Principal Investigator
      坪下 幸寛
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 58020:Hygiene and public health-related: including laboratory approach
    • Research Institution
      Kyorin University
  •  陸生昆虫の可塑的な飛翔形質に基づく氾濫原の洪水リスク評価手法の構築

    • Principal Investigator
      橋本 晃生
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 64040:Social-ecological systems-related
    • Research Institution
      Kyorin University
  •  Establishing a method for Automatic identification of Cervical Cancer Cells by a Deep Neural NetworkPrincipal Investigator

    • Principal Investigator
      Tsuboshita Yukihiro
    • Project Period (FY)
      2021 – 2022
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      1002:Human informatics, applied informatics and related fields
    • Research Institution
      Kyorin University

All 2022

All Presentation

  • [Presentation] 深層学習を用いた子宮頸がん細胞の自動分類2022

    • Author(s)
      坪下幸寛, 大河戸光章
    • Organizer
      電子情報通信学会パターン認識・メディア理解研究会
    • Data Source
      KAKENHI-PROJECT-21K21320
  • [Presentation] 深層学習を用いた子宮頸がん細胞の自動分類2022

    • Author(s)
      坪下 幸寛、大河戸光章
    • Organizer
      電子情報通信学会PRMU研究会
    • Data Source
      KAKENHI-PROJECT-21K21320
  • 1.  片岡 恵子 (30760516)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  大河戸 光章 (10276206)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  橋本 晃生 (50836517)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  伊藤 慎 (00460139)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  山本 薫 (00766016)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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