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Joint Discriminative and Representative Feature Selection for Alzheimer’s Disease Diagnosis
Neuroimaging data have been widely used to derive possible biomarkers for Alzheimer’s Disease (AD) diagnosis. As only certain brain regions are related to AD progression, many feature selection methods have been proposed to identify informative features (i.e., brain regions) to build an accurate pre...
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| Gepubliceerd in: | Mach Learn Med Imaging |
|---|---|
| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5612439/ https://ncbi.nlm.nih.gov/pubmed/28956028 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-47157-0_10 |
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