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Hyperontology for Semantic Integration of Cancer Imaging Data Validated with Prostate and Breast Cases

Journal of medical Internet researchyesterday

EUCAIM's FAIR hyperontology semantically integrates heterogeneous cancer imaging data, validated with prostate and breast cancer cases.

  • The ontology harmonizes clinical, biological, and imaging metadata from disparate cancer data models, establishing semantic mappings across standards.
  • It supports EUCAIM components such as extract, transform, load; federated query; image annotation; and AI-federated processing.
  • Scalability and extensibility remain challenges due to the complexity and dynamic nature of oncology data.
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