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Use case oriented medical visual information retrieval & system evaluation

Defense Thèse de doctorat : Univ. Genève, 2015 - Sc. 4781 - 2015/04/28
Abstract 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.
Keywords Medical visual information retrievalSystem evaluationUse caseImageCLEFMedical case retrievalQuery adaptive multi-modal fusionShangri-laClassificationTraining set expansion
URN: urn:nbn:ch:unige-731845
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Thesis (10.9 MB) - public document Free access
Research groups MedGIFT
Computer Vision and Multimedia Laboratory
Viper group
European Commission: KHRESMOI
European Commission: PROMISE
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GARCIA SECO DE HERRERA, Alba. Use case oriented medical visual information retrieval & system evaluation. Université de Genève. Thèse, 2015. doi: 10.13097/archive-ouverte/unige:73184 https://archive-ouverte.unige.ch/unige:73184

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Deposited on : 2015-06-15

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