Alzheimer's disease detection using data fusion with a deep supervised encoder
Alzheimer's disease (AD) is affecting a growing number of individuals. As a result, there is a pressing need for accurate and early diagnosis methods. This study aims to achieve this goal by developing an optimal data analysis strategy to enhance computational diagnosis. Although various modali...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Dementia |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frdem.2024.1332928/full |