HAL (France)
open access
Optimizing Alzheimer’s Disease diagnosis with MRI and clinical data via lightweight transformers
This study presents a multimodal framework for subject-level Alzheimer's disease classification using sagittal MRI and clinical data from the OASIS-1 and OASIS-2 datasets. MobileViT is used to extract features from sagittal MRI slices, while a lightweight clinical encoder represents tabular patient
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