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Sultana Rebeka  Sultana Rebeka

ORCIDConnect your ORCID iD *help
Researcher Number 80999350
Other IDs
Affiliation (Current) 2026: 東京農工大学, 工学(系)研究科(研究院), 助教
Affiliation (based on the past Project Information) *help 2024: 東京農工大学, 学内共同利用施設等, 特任助教
Review Section/Research Field
Principal Investigator
1001:Information science, computer engineering, and related fields
Keywords
Principal Investigator
Hyperspectral image / Segmentation / Deep learning / Cell image / Cancer cytoplasm / Hyperspectral images / Data augmentation
  • Research Projects

    (1 results)
  • Research Products

    (1 results)
  •  Cancer type classification from cancer cytoplasm using hyperspectral imagesPrincipal Investigator

    • Principal Investigator
      Sultana Rebeka
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      1001:Information science, computer engineering, and related fields
    • Research Institution
      Tokyo University of Agriculture and Technology

All 2024

All Presentation

  • [Presentation] 乳腺腫瘍おける細胞質由来ハイパースペクトル取得の試み2024

    • Author(s)
      響堀部, レベッカスルタナ, 郁子清水, 智亮村上
    • Organizer
      第167回日本獣医学会学術集会
    • Data Source
      KAKENHI-PROJECT-24K23855

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