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

Journal of medical Internet researchSep 8

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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