Conference Paper

Bioingenium at ImageClefmed 2010: A Latent Semantic Approach

Conference: CLEF 2010 LABs and Workshops, Notebook Papers, 22-23 September 2010, Padua, Italy
Source: DBLP


This paper describes the participation of the Bioingenium Research Group in the ad hoc Medical Image Retrieval task for the 2010 ImageCLEF forum. The work aimed to explore semantic relationships in textual information and transfer into visual information by building a unified image searching index. The proposed strategy is based on the use of Non-Negative Matrix Factorization to decompose matrix data and build latent semantic spaces. Keywords: Non-Negative Matrix Factorization, Content-Based Information Retrieval

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Available from: Fabio A. González, Jan 02, 2014
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    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.
    Full-text · Thesis · Apr 2015