Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach
Manojkumar.s.kathane and Vilas Thakare and. Article: Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach. IJCA Proceedings on International Conference on Benchmarks in Engineering Science and Technology 2012 ICBEST(1):12-14, October 2012. Full text available. BibTeX
@article{key:article,
author = {Manojkumar.s.kathane and Vilas Thakare and},
title = {Article: Brain Segmentation using Support Vector Machine: Diagnostic Intelligence Approach},
journal = {IJCA Proceedings on International Conference on Benchmarks in Engineering Science and Technology 2012},
year = {2012},
volume = {ICBEST},
number = {1},
pages = {12-14},
month = {October},
note = {Full text available}
}
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.
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