Diagnosis of Alzheimer’s disease using brain $$^{18}\textrm{F}$$ -FDG PET imaging based on a state space model
Abstract In recent studies on Alzheimer’s disease (AD), various network models have shown significant potential in disease prediction. However, traditional CNNs often rely on parameterized loss functions, limiting the robustness of these models. Additionally, their high computational complexity incr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00183-3 |
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