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Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies

  • Hongyan Gu
  • , Zihan Yan
  • , Ayesha Alvi
  • , Brandon Day
  • , Chunxu Yang
  • , Zida Wu
  • , Shino Magaki
  • , Mohammad Haeri
  • , Xiang Anthony Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages40-45
Number of pages6
ISBN (Electronic)9798350383737
DOIs
StatePublished - 2024
Externally publishedYes
Event12th IEEE International Conference on Healthcare Informatics, ICHI 2024 - Orlando, United States
Duration: Jun 3 2024 → Jun 6 2024

Publication series

NameProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024

Conference

Conference12th IEEE International Conference on Healthcare Informatics, ICHI 2024
Country/TerritoryUnited States
CityOrlando
Period6/3/24 → 6/6/24

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Health Informatics

Keywords

  • Consistency
  • Convolutional Neural Network
  • Eye-Gaze
  • Mitosis Detection
  • Pathology

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