학술논문
Improving Performance of Medical Images Retrieval by Combining Textual and Visual Information
Document Type
Conference
Source
2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI) Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on. :185-192 Nov, 2007
Subject
Language
Abstract
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.