Mueen, A. and Zainuddin, R. and Baba, M.S. (2010) MIARS: A Medical Image Retrieval System. Journal of Medical Systems, 34 (5). pp. 859-864. ISSN 0148-5598, DOI https://doi.org/10.1007/s10916-009-9300-y.
Full text not available from this repository.Abstract
The next generation of medical information system will integrate multimedia data to assist physicians in clinical decision-making, diagnoses, teaching, and research. This paper describes MIARS (Medical Image Annotation and Retrieval System). MIARS not only provides automatic annotation, but also supports text based as well as image based retrieval strategies, which play important roles in medical training, research, and diagnostics. The system utilizes three trained classifiers, which are trained using training images. The goal of these classifiers is to provide multi-level automatic annotation. Another main purpose of the MIARS system is to study image semantic retrieval strategy by which images can be retrieved according to different levels of annotation.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | ISI Document Delivery No.: 648OG Times Cited: 1 Cited Reference Count: 16 Mueen, A. Zainuddin, R. Baba, M. Sapiyan Springer New york |
| Uncontrolled Keywords: | Medical image classification Medical image annotation Medical image retrieval |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Ms Maisarah Mohd Muksin |
| Date Deposited: | 04 Jan 2013 16:21 |
| Last Modified: | 26 Aug 2019 06:38 |
| URI: | http://eprints.um.edu.my/id/eprint/5675 |
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