This work was part of SUNY at Buffalo’s overall participation in cross-language retrieval of image collections (ImageCLEF). Our main goal was to explore the combination of Content-Based Image Retrieval (CBIR) and text retrieval of medical images that have clinical annotations in English, French and German. We used a system that combined the content-based image retrieval system GIFT and the well-known SMART system for text retrieval. Translations of English topics to French were performed by mapping the English text to UMLS concepts using the 2005 UMLS meta-thesaurus. Results show that combining both CBIR and Text retrieval yields significant improvements of retrieval performance.
['Miguel E. Ruiz', 'Sílvia Barcellos Southwick']
UB at CLEF 2005: Medical Image Retrieval Task