By Topic

Improving Performance of Medical Images Retrieval by Combining Textual and Visual Information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Diaz-Galiano, M.C. ; Comput. Sci. Dept., Univ. of Jaen, Jaen ; Martin-Valdivia, M.T. ; Montejo-Raez, A. ; Urea-Lopez, L.A.

This paper studies the combination of textual and visual information in a database of medical records in order to improve the performance of the multi-modal information retrieval system. The proposed model consists of two subsystems: a content-based information retrieval subsystem that performs the image retrieval and a textual information retrieval subsystem that performs the textual retrieval. The images and text are independently retrieved and then the partial resulting lists are mixed. A study of different weighting schemes has been accomplished and analyzed. The results obtained show that the proper integration of textual information improves conventional multi-modal systems.

Published in:

Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on

Date of Conference:

4-10 Nov. 2007