Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution

This paper focuses on the detection and segmentation of Multiple Sclerosis (MS) lesions in magnetic resonance (MRI) brain images. To capture the complex tissue spatial layout, a probabilistic model termed Constrained Gaussian Mixture Model (CGMM) is proposed based on a mixture of multiple spatially...

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Detalles Bibliográficos
Autores principales: Freifeld, Oren, Greenspan, Hayit, Goldberger, Jacob
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2742654/
https://www.ncbi.nlm.nih.gov/pubmed/19756161
http://dx.doi.org/10.1155/2009/715124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2742654/
https://www.ncbi.nlm.nih.gov/pubmed/19756161
http://dx.doi.org/10.1155/2009/715124

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