Multimedia retrieval in a medical image collection: results using modality classes

  • Authors:
  • Angel Castellanos;Xaro Benavent;Ana García-Serrano;J. Cigarrán

  • Affiliations:
  • Universidad Nacional de Educación a Distancia, UNED, Spain;Universitat de València, Spain;Universidad Nacional de Educación a Distancia, UNED, Spain;Universidad Nacional de Educación a Distancia, UNED, Spain

  • Venue:
  • MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
  • Year:
  • 2012

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Abstract

The effective communication between user and systems is one main aim in the Multimedia Information Retrieval field. In this paper the modality classification of images is used to expand the user queries within the ImageCLEF Medical Retrieval collection provided by organizers. Our main contribution is to show how and when results can be improved by understanding modality-related challenges. To do so, a detailed analysis of the results of the experiments carried out is presented and the comparison between these results shows that the improvement using modality class query expansion is query-dependent.