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Artificial Intelligence Review

, Volume 41, Issue 3, pp 429–439 | Cite as

Gaussian mixture model based segmentation methods for brain MRI images

  • M. A. Balafar
Article

Abstract

Image segmentation is at a preliminary stage of inclusion in diagnosis tools and the accurate segmentation of brain MRI images is crucial for a correct diagnosis by these tools. Due to in-homogeneity, low contrast, noise and inequality of content with semantic; brain MRI image segmentation is a challenging job. A review of the Gaussian Mixture Model based segmentation algorithms for brain MRI images is presented. The review covers algorithms for segmentation algorithms and their comparative evaluations based on reported results.

Keywords

Statistical MRI Brain 

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Computer, Faculty of EngineeringUniversity of TabrizTabrizIran

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