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Deep Residual Learning for Neuroimaging: An application to Predict Progression to Alzheimer’s Disease
BACKGROUND: The unparalleled performance of deep learning approaches in generic image processing has motivated its extension to neuroimaging data. These approaches learn abstract neuroanatomical and functional brain alterations that could enable exceptional performance in classification of brain dis...
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| Publicado no: | J Neurosci Methods |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7297044/ https://ncbi.nlm.nih.gov/pubmed/32275915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2020.108701 |
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