Adaptive neighborhood aggregation graph neural network for early diagnosis of Alzheimer’s disease
Abstract Early diagnosis of Alzheimer’s disease (AD) is crucial for timely intervention but remains challenging due to subtle and heterogeneous brain alterations, particularly in the mild cognitive impairment (MCI) stage. To address this issue, we propose a pathology-aware Adaptive Neighborhood Aggr...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2026-04-01
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| Серія: | Scientific Reports |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1038/s41598-026-50351-2 |
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