The medGIFT Group in ImageCLEFmed 2012
Alba García Seco de Herrera, Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller · 2012
Abstract. This article presents the participation of the medGIFT group in ImageCLEFmed 2012. Since 2004, the group has participated in the medical image retrieval tasks of ImageCLEF each year. There are three types of tasks for ImageCLEFmed 2012: modality classification, image– based retrieval and case–based retrieval. The medGIFT group participated in all three tasks. MedGIFT is developing a system named ParaDISE (Parallel Distributed Image Search Engine), which is the successor of GIFT (GNU Image Finding Tool). The alpha version of ParaDISE was used to run most of the experiments in the competition. Results show that our approach using Bag–of–Visual–Words (BoVW), Bag–of–Colors (BoC) and Lucene for the image captions is the best run for mixed modality classification. The same approach is also the best for the image retrieval task in terms of bpref. In the case–based retrieval task, the Lucene baseline is the best run in terms of mean average precision (MAP). We were the only group presenting mixed and visual runs in these tasks. 1