Skull-stripping induces shortcut learning in MRI-based Alzheimer’s disease classification
Abstract Objectives High classification accuracy of Alzheimer’s disease (AD) from structural MRI has been achieved using deep neural networks, yet the specific image features contributing to these decisions remain unclear. In this study, the contributions of T1-weighted (T1w) gray-white matter textu...
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| Автори: | , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2025-12-01
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| Серія: | Insights into Imaging |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s13244-025-02158-4 |
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