Automatic classification of MR scans in Alzheimer’s disease

To be diagnostically useful, structural MRI must reliably distinguish Alzheimer’s disease (AD) from normal aging in individual scans. Recent advances in statistical learning theory have led to the application of support vector machines to MRI for detection of a variety of disease states. The aims of...

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Detalhes bibliográficos
Main Authors: Klöppel, Stefan, Stonnington, Cynthia M., Chu, Carlton, Draganski, Bogdan, Scahill, Rachael I., Rohrer, Jonathan D., Fox, Nick C., Jack, Clifford R., Ashburner, John, Frackowiak, Richard S. J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2008
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2579744/
https://ncbi.nlm.nih.gov/pubmed/18202106
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/brain/awm319
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