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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203808/
https://www.ncbi.nlm.nih.gov/pubmed/34118592
http://dx.doi.org/10.1016/j.nicl.2021.102712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203808/
https://www.ncbi.nlm.nih.gov/pubmed/34118592
http://dx.doi.org/10.1016/j.nicl.2021.102712

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