all AI news
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input. (arXiv:2210.01177v1 [eess.IV])
Oct. 5, 2022, 1:11 a.m. | Zilun Zhang, Farzad Khalvati
cs.LG 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 …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote