Using medGIFT and easyIR for the ImageCLEF 2005 Evaluation Tasks.
Henning Müller, Antoine Geissbühler, Johan Marty, Christian Lovis, Patrick Ruch · 2005
This article describes the use of the medGIFT retrieval system for three of the four ImageCLEF 2005 retrieval tasks. We participated in the ad–hoc retrieval task that was similar to the 2004 ad–hoc task, the new medical retrieval task that required much more semantic analysis of the textual annotation than in 2004 and the new automatic annotation task. The techniques used in 2005 are fairly similar to the 2004 techniques for the two retrieval tasks. For the automatic annotation task, scripts were optimised to allow classification with a retrieval system. Unfortunately, an error in the text retrieval system corrupted part of our runs and led to relatively bad results for all runs including text. This error should be fixed before the final proceedings are printed, so correct figures are expected for this. All retrieval results rely heavily on two retrieval systems: for visual retrieval we use the GNU Image Finding Tool (GIFT), and for textual retrieval the EasyIR retrieval system. For the ad-hoc retrieval task, two runs were submitted with different configurations of grey levels and the Gabor filters. No textual retrieval was attempted, but