Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples.
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DOI: 10.2139/ssrn.4264850
Abstract: BACKGROUND Dementia's diagnostic protocols are mostly based on standardised neuroimaging data collected in the Global North from homogeneous samples. In other non-stereotypical samples (participants with diverse admixture, genetics, demographics, MRI signals, or cultural origins), classifications… read more here.
Keywords: learning unprocessed; neuroimaging; standardised neuroimaging; visual deep ... See more keywords