Transformer and Convolutional Neural Network: A Hybrid Model for Multimodal Data in Multiclass Classification of Alzheimer’s Disease
Alzheimer’s disease (AD) is a form of dementia that progressively impairs a person’s mental abilities. Current classification methods for the six AD stages perform poorly in multiclass classification and are computationally expensive, which hinders their clinical use. An efficient, low-computational...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/13/10/1548 |
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