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.
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Balafar, M.A. Gaussian mixture model based segmentation methods for brain MRI images. Artif Intell Rev 41, 429–439 (2014). https://doi.org/10.1007/s10462-012-9317-3
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DOI: https://doi.org/10.1007/s10462-012-9317-3