Abstract
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Retrieval task of ImageCLEF 2007. For this campaign, our challenge was to research on different merging strategies, i.e. methods of combination of textual and visual retrieval techniques. We have focused on the idea of performing all possible combinations of well-known textual and visual techniques in order to find which ones offer the best results in terms of MAP and analyze if the combined results may improve the individual ones.
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References
Villena-Román, J., Lana-Serrano, S., González-Cristóbal, J.C.: MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval. In: Working Notes of the Cross Language Evaluation Forum 2007, Budapest, Hungary (2007)
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Villena-Román, J., Lana-Serrano, S., González-Cristóbal, J.C. (2008). MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_74
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DOI: https://doi.org/10.1007/978-3-540-85760-0_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85759-4
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