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Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach

Published on October 2012 by Manojkumar.s.kathane, Vilas Thakare and
International Conference on Benchmarks in Engineering Science and Technology 2012
Foundation of Computer Science USA
ICBEST - Number 1
October 2012
Authors: Manojkumar.s.kathane, Vilas Thakare and
8cb296cf-0bc5-4f9c-bd46-b745388a3f8a

Manojkumar.s.kathane, Vilas Thakare and . Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach. International Conference on Benchmarks in Engineering Science and Technology 2012. ICBEST, 1 (October 2012), 12-14.

@article{
author = { Manojkumar.s.kathane, Vilas Thakare and },
title = { Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach },
journal = { International Conference on Benchmarks in Engineering Science and Technology 2012 },
issue_date = { October 2012 },
volume = { ICBEST },
number = { 1 },
month = { October },
year = { 2012 },
issn = 0975-8887,
pages = { 12-14 },
numpages = 3,
url = { /proceedings/icbest/number1/8686-1008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Benchmarks in Engineering Science and Technology 2012
%A Manojkumar.s.kathane
%A Vilas Thakare and
%T Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach
%J International Conference on Benchmarks in Engineering Science and Technology 2012
%@ 0975-8887
%V ICBEST
%N 1
%P 12-14
%D 2012
%I International Journal of Computer Applications
Abstract

In the quantitative analysis of brain tissues, in magnetic resonance (MR) brain images, segmentation is the preliminary step. In this paper first we analyzed and compared various techniques used for Brain Image segmentation. Further it introduces an automatic model based technique for brain tissue segmentation from cerebral magnetic resonance (MR) images by using support vector machine (SVM) based classifier. A new and powerful kind of supervised machine learning with high generalization characteristics, is employed SVM. An iterative process is used for brain segmentation, so that the probabilistic maps of brain tissues will be updated at any iteration.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Magnetic Resonance Image Image Segmentation Support Vector Machine (svm) Least Square Support Vector Machine (ls-svm)