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Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input. (arXiv:2210.01177v1 [eess.IV])
Oct. 5, 2022, 1:15 a.m. | Zilun Zhang, Farzad Khalvati
cs.CV updates on arXiv.org arxiv.org
Many high-performance classification models utilize complex CNN-based
architectures for Alzheimer's Disease classification. We aim to investigate two
relevant questions regarding classification of Alzheimer's Disease using MRI:
"Do Vision Transformer-based models perform better than CNN-based models?" and
"Is it possible to use a shallow 3D CNN-based model to obtain satisfying
results?" To achieve these goals, we propose two models that can take in and
process 3D MRI scans: Convolutional Voxel Vision Transformer (CVVT)
architecture, and ConvNet3D-4, a shallow 4-block 3D CNN-based …
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