Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models

This paper presents a novel method for Glioblastoma (GBM) feature extraction based on Gaussian mixture model (GMM) features using MRI. We addressed the task of the new features to identify GBM using T1 and T2 weighted images (T1-WI, T2-WI) and Fluid-Attenuated Inversion Recovery (FLAIR) MR images. A...

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Detalles Bibliográficos
Autor principal: Chaddad, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469084/
https://www.ncbi.nlm.nih.gov/pubmed/26136774
http://dx.doi.org/10.1155/2015/868031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469084/
https://www.ncbi.nlm.nih.gov/pubmed/26136774
http://dx.doi.org/10.1155/2015/868031

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