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

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4 Author(s)

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