Medical image segmentation using a multi-agent system approach
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 10, Issue 3 (31 May. 2013)8 p.
Publisher
Publication Date
2013-05-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Topics
Abstract EN
Images segmentation techniques have been an invaluable task in many domains such as quantification of tissue volumes, medical diagnosis, anatomical structure study, treatment planning, etc.
Image segmentation is still a debatable problem 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 local 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 subimage individually.
Moderator agent checks the outcome of all agents’ work to produce final segmented image.
The experimental results for CT images demonstrated segmentation accuracy around 91 % and efficiency of 7 seconds.
American Psychological Association (APA)
Chitsaz, Mahsa& Seng, Woo. 2013. Medical image segmentation using a multi-agent system approach. The International Arab Journal of Information Technology،Vol. 10, no. 3.
https://search.emarefa.net/detail/BIM-311901
Modern Language Association (MLA)
Chitsaz, Mahsa& Seng, Woo. Medical image segmentation using a multi-agent system approach. The International Arab Journal of Information Technology Vol. 10, no. 3 (May. 2013).
https://search.emarefa.net/detail/BIM-311901
American Medical Association (AMA)
Chitsaz, Mahsa& Seng, Woo. Medical image segmentation using a multi-agent system approach. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 3.
https://search.emarefa.net/detail/BIM-311901
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-311901