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Effects of hardware heterogeneity on the performance of SVM Alzheimer’s disease classifier

Fully automated machine learning methods based on structural magnetic resonance imaging (MRI) data can assist radiologists in the diagnosis of Alzheimer’s disease (AD). These algorithms require large data sets to learn the separation of subjects with and without AD. Training and test data may come f...

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Autors principals: Abdulkadir, Ahmed, Mortamet, Bénédicte, Vemuri, Prashanthi, Jack, Clifford R., Krueger, Gunnar, Klöppel, Stefan
Format: Artigo
Idioma:Inglês
Publicat: 2011
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3258661/
https://ncbi.nlm.nih.gov/pubmed/21708272
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.06.029
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