Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease

This work validates the generalizability of MRI-based classification of Alzheimer’s disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive impairment (MCI). We used a conventional support vector machine (SV...

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Detalhes bibliográficos
Publicado no:Neuroimage Clin
Main Authors: Bron, Esther E., Klein, Stefan, Papma, Janne M., Jiskoot, Lize C., Venkatraghavan, Vikram, Linders, Jara, Aalten, Pauline, De Deyn, Peter Paul, Biessels, Geert Jan, Claassen, Jurgen A.H.R., Middelkoop, Huub A.M., Smits, Marion, Niessen, Wiro J., van Swieten, John C., van der Flier, Wiesje M., Ramakers, Inez H.G.B., van der Lugt, Aad
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2021
Assuntos:
Regular Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8203808/
https://ncbi.nlm.nih.gov/pubmed/34118592
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2021.102712
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