Doctoral thesis
Open access

Use case oriented medical visual information retrieval & system evaluation

Defense date2015-04-28

Large amounts of medical visual data are produced daily in hospitals, while new imaging techniques continue to emerge. In addition, many images are made available continuously via publications in the scientific literature and can also be valuable for clinical routine, research and education. Information retrieval systems are useful tools to provide access to the biomedical literature and fulfil the information needs of medical professionals. The tools developed in this thesis can potentially help clinicians make decisions about difficult diagnoses via a case-based retrieval system based on a use case associated with a specific evaluation task. This system retrieves articles from the biomedical literature when querying with a case description and attached images. This thesis proposes a multimodal approach for medical case-based retrieval with focus on the integration of visual information connected to text. Furthermore, the ImageCLEFmed evaluation campaign was organised during this thesis promoting medical retrieval system evaluation.

  • Medical visual information retrieval
  • System evaluation
  • Use case
  • ImageCLEF
  • Medical case retrieval
  • Query adaptive multi-modal fusion
  • Shangri-la
  • Classification
  • Training set expansion
  • European Commission - KHRESMOI
  • European Commission - PROMISE
Citation (ISO format)
GARCIA SECO DE HERRERA, Alba. Use case oriented medical visual information retrieval & system evaluation. 2015. doi: 10.13097/archive-ouverte/unige:73184
Main files (1)

Technical informations

Creation06/12/2015 5:14:00 PM
First validation06/12/2015 5:14:00 PM
Update time03/30/2023 10:33:33 AM
Status update03/30/2023 10:33:33 AM
Last indexation09/18/2023 8:42:19 PM
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