Using Medline Queries to Generate Image Retrieval Tasks for Benchmarking

Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the electronic patient record. Tools are required to give access to the images and exploit the information inherently stored in medical cases including images. To compare image retrieval techniques of research prototypes based on the same data and tasks, ImageCLEF was started in 2003 and a medical task was added in 2004. Since then, every year a database was distributed, tasks developed, and systems compared based on realistic search tasks and large databases. For the year 2007 a set of almost 68'000 images was distributed among 38 research groups registered for the medical retrieval task. Realistic query topics were developed based on a log file of Medline. This log file contains the queries performed on Pubmed during 24 hours. Most queries could not be used as search topics directly as they do not contain ...

• Type: Conference
• Year: 2008
• Where: MIE
• Authors: Henning Müller, Jayashree Kalpathy-Cramer, William R. Hersh, Antoine Geissbühler
• Keywords: Healthcare, Image Retrieval, Image Retrieval Techniques, MIE 2008, Visual Information Retrieval