Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images. (arXiv:2308.05655v1 [eess.IV])

Structural MRI and PET imaging play an important role in the diagnosis of
Alzheimer's disease (AD), showing the morphological changes and glucose
metabolism changes in the brain respectively. The manifestations in the brain
image of some cognitive impairment patients are relatively inconspicuous, for
example, it still has difficulties in achieving accurate diagnosis through sMRI
in clinical practice. With the emergence of deep learning, convolutional neural
network (CNN) has become a valuable method in AD-aided diagnosis, but some CNN
methods cannot …

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