Feature Selection in Order to Extract Multiple Sclerosis Lesions Automatically in 3D Brain Magnetic Resonance Images Using Combination of Support Vector Machine and Genetic Algorithm

This paper presents a new feature selection approach for automatically extracting multiple sclerosis (MS) lesions in three-dimensional (3D) magnetic resonance (MR) images. Presented method is applicable to different types of MS lesions. In this method, T1, T2, and fluid attenuated inversion recovery...

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Detalles Bibliográficos
Autores principales: Khotanlou, Hassan, Afrasiabi, Mahlagha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662104/
https://www.ncbi.nlm.nih.gov/pubmed/23724371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662104/
https://www.ncbi.nlm.nih.gov/pubmed/23724371

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