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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Detalles Bibliográficos
Autores principales: Garraux, Gaëtan, Phillips, Christophe, Schrouff, Jessica, Kreisler, Alexandre, Lemaire, Christian, Degueldre, Christian, Delcour, Christian, Hustinx, Roland, Luxen, André, Destée, Alain, Salmon, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778264/
https://www.ncbi.nlm.nih.gov/pubmed/24179839
http://dx.doi.org/10.1016/j.nicl.2013.06.004

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