Brain tissue segmentation in medical image analysis using self-organizing maps

Nair, Smitha Sunil Kumaran (2014) Brain tissue segmentation in medical image analysis using self-organizing maps. Journal of Innovative Research and Solution, 1 (1). pp. 357-364. ISSN 2348-3636

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Abstract

This paper deals with a machine learning algorithm used for the segmentation of brain into three tissues namely White Matter (WM), Gray Matter (GM) and Cerebrospinal Fluid (CSF) in Magnetic Resonance Images (MRI). The proposed work describes and discusses on how to preprocess the MR image and how to create, initialize, train and interpret a Self-Organizing Map to separate the brain tissues. Finally, the proposals based on Evolutionary Algorithms given are seen to have high potential for improvement and promise to lead to high accurate segmentation in future work.

Item Type: Article
Uncontrolled Keywords: Image denoising, skull stripping, MRI segmentation, Self-Organizing Maps
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 25 Jul 2014 07:05
Last Modified: 25 Jul 2014 07:05
URI: http://eprints.manipal.edu/id/eprint/140230

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