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ZOU MIN  鄒 敏

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鄒 敏  スウ ビン

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Researcher Number 40921763
Other IDs
Affiliation (Current) 2026: 岩手大学, 理工学部, 准教授
Affiliation (based on the past Project Information) *help 2026: 岩手大学, 理工学部, 准教授
2024: 秋田大学, 理工学研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 62010:Life, health and medical informatics-related
Keywords
Principal Investigator
糖尿病足病変 / 診療支援システム / 機械学習 / 検出 / 爪白癬
  • Research Projects

    (2 results)
  • Research Products

    (3 results)
  •  糖尿病足病変における爪白癬画像の言語化を用いた遠隔診断支援基盤の構築Principal Investigator

    • Principal Investigator
      鄒 敏
    • Project Period (FY)
      2026 – 2028
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Iwate University
  •  Development of a Nail Onychomycosis Diagnosis Support System based on Automatic Disease Analysis of Nail Images for Diabetic Foot LesionsPrincipal Investigator

    • Principal Investigator
      鄒 敏
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Akita University

All 2024

All Presentation

  • [Presentation] Vision Transformer-based Tinea Unguium Classification Approach Using Foot Images2024

    • Author(s)
      Kakeru Miura, Min Zou, Takehiro Sato, Hironori Waki, Yoichi Kageyama
    • Organizer
      The 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 (ICISIP2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K20887
  • [Presentation] 遠隔診療支援を目的とした画像を対象とする爪白癬推定手法に関する検討2024

    • Author(s)
      三浦 翔流, 鄒 敏, 佐藤 雄大, 脇 裕典, 景山 陽一
    • Organizer
      2024年度情報処理学会東北支部研究会
    • Data Source
      KAKENHI-PROJECT-24K20887
  • [Presentation] 糖尿病足病変の早期発見に向けた爪白癬画像分類2024

    • Author(s)
      三浦 翔流, 鄒 敏, 佐藤 雄大, 脇 裕典, 景山 陽一
    • Organizer
      2024年度産業応用工学会全国大会
    • Data Source
      KAKENHI-PROJECT-24K20887

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