Seng, W.C. and Chitsaz, M. (2013) Medical image segmentation using a multi-agent system. International Arab Journal of Information Technology, 10 (33).
Full text not available from this repository.Abstract
Image segmentation still requires improvements although there have been research works since the last few decades. This is coming due to some issues. Firstly, most image segmentation solutions are problem-based. Secondly, medical image segmentation methods generally have restrictions because medical images have very similar gray level and texture among the interested objects. The goal of this work is to design a framework to extract simultaneously several objects of interest from Computed Tomography (CT) images by using some priori-knowledge. Our method used properties of agent in a multi-agent environment. The input image is divided into several sub-images, and each agent works on a sub-image and tries to mark each pixel as a specific region by means of given priori-knowledge. During this time the local agent marks each cell of sub-image individually. Moderator agent checks the outcome of all agents� work to produce final segmented image. The experimental results for cranial CT images demonstrated segmentation accuracy around 90.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Medical Image Segmentation;Agent; Multi-Agent system |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Miss Nur Jannatul Adnin Ahmad Shafawi |
| Date Deposited: | 17 Apr 2013 02:34 |
| Last Modified: | 17 Apr 2013 02:34 |
| URI: | http://eprints.um.edu.my/id/eprint/5702 |
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