Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach

This work presents a spatial-component (SC) based approach to aid the diagnosis of Alzheimer's disease (AD) using magnetic resonance images. In this approach, the whole brain image is subdivided in regions or spatial components, and a Bayesian network is used to model the dependencies between a...

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Detalles Bibliográficos
Autores principales: Illan, Ignacio A., Górriz, Juan M., Ramírez, Javier, Meyer-Base, Anke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4244642/
https://www.ncbi.nlm.nih.gov/pubmed/25505408
http://dx.doi.org/10.3389/fncom.2014.00156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4244642/
https://www.ncbi.nlm.nih.gov/pubmed/25505408
http://dx.doi.org/10.3389/fncom.2014.00156

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