Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes()()

Most available pattern recognition methods in neuroimaging address binary classification problems. Here, we used relevance vector machine (RVM) in combination with booststrap resampling (‘bagging’) for non-hierarchical multiclass classification. The method was tested on 120 cerebral (18)fluorodeoxyg...

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Detalhes bibliográficos
Main Authors: Garraux, Gaëtan, Phillips, Christophe, Schrouff, Jessica, Kreisler, Alexandre, Lemaire, Christian, Degueldre, Christian, Delcour, Christian, Hustinx, Roland, Luxen, André, Destée, Alain, Salmon, Eric
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2013
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3778264/
https://ncbi.nlm.nih.gov/pubmed/24179839
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2013.06.004
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