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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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Pubblicato in:Front Comput Neurosci
Autori principali: Illan, Ignacio A., Górriz, Juan M., Ramírez, Javier, Meyer-Base, Anke
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2014
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4244642/
https://ncbi.nlm.nih.gov/pubmed/25505408
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00156
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