UB at CLEF 2005: Medical Image Retrieval Task

The number of visual runs in 2008 was much lower than in previous years, and the evolution is not as fast as with textual retrieval techniques.. Five groups submitted a total of

The best results obtained in the training phase and in the competition has been reached with a configuration which uses the IR-n system with a negative query expansion based on

The results suggest that, on average, the percentage of relevant items assessed was less than 55% for each of German, French and English and less than 25% for Persian.. Categories

For future experiments, we intend to exploit the knowledge on the impact of named entities on the retrieval process (Mandl & Womser-Hacker 2005) as well

Participants were asked to categorise their submissions by the following dimensions: query language, type (automatic or manual), use of feedback (typically relevance feedback is

The basic architecture of our factoid system is standard in nature and comprises query type identification, query analysis and translation, retrieval query formulation, document

The medical version of the GIFT is called medGIFT 4 [4]. It is also accessible as open source and adaptations concern mainly the features used and the interface that shows the

We propose several image features, including color histogram, gray-spatial histogram, coherence moment, and gray correlogram, to facilitate the retrieval of similar images..