Bioinformatics
Bioinformatics
Evaluation of query expansion using MeSH in PubMed
Information Retrieval
Query expansion with a medical ontology to improve a multimodal information retrieval system
Computers in Biology and Medicine
Query expansion on medical image retrieval: MeSH vs. UMLS
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Ontology refinement for improved information retrieval
Information Processing and Management: an International Journal
Overview of the CLEF 2009 medical image retrieval track
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Overview of the second workshop on medical content---based retrieval for clinical decision support
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
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The presence of huge collections of medical images in scientific repositories and hospital databases has given rise to increasing interest in access to this information. This paper addresses the issue, focusing on image retrieval based on textual information related to the image. The initial hypothesis is that query expansion could improve the effectiveness of image retrieval systems. In this proposal, several information elements contained in MeSH ontology were used. The ImageCLEF 2009 and 2010 document collections were used for the experiment. Results showed a slight increase in MAP and a more significant difference when the evaluation was performed using the F-measure in 2009 collection. The final conclusion is that query expansion is not sufficient to achieve a substantial improvement in the efficacy of this type of information retrieval systems.