期刊
ARTIFICIAL INTELLIGENCE REVIEW
卷 41, 期 3, 页码 429-439出版社
SPRINGER
DOI: 10.1007/s10462-012-9317-3
关键词
Statistical; MRI; Brain
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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