Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samplesResearch in context
Summary: 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), cl...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-04-01
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Series: | EBioMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396423001056 |