Cart (Loading....) | Create Account
Close category search window
 

Multi-agent segmentation for 3D medical images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Moussa, R. ; Lab. Labri, Talence, France ; Beurton-Aimar, M. ; Desbarats, P.

Many medical image segmentation techniques have been proposed by lots of authors but they are mainly dedicated to particular solutions. There is no generic method for solving the image segmentation problem. The difficulty comes from that two types of noise are presented in medical images: physical noise due to the acquisition system, for example, Optical, X-rays and MRI, and physiological noise due to the patient status. In this paper, we present a social spiders method which implements a multiagent system with a biological behavior. After a presentation of the principles of this method, we will compare its results on brain MRI images with two other ones: Region Growing and Otsu thresholding methods. The segmentation method based on social spiders appears to be more robust to noise than classical methods on brain MRI images. Drawbacks of this method are also identified and solutions are proposed as a conclusion.

Published in:

Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on

Date of Conference:

4-7 Nov. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.