Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans

arXiv:2406.05757v1 Announce Type: cross
Abstract: Classifying 3D MRI images for early detection of Alzheimer's disease is a critical task in medical imaging. Traditional approaches using Convolutional Neural Networks (CNNs) and Transformers face significant challenges in this domain. CNNs, while effective in capturing local spatial features, struggle with long-range dependencies and often require extensive computational resources for high-resolution 3D data. Transformers, on the other hand, excel in capturing global context but suffer from quadratic complexity in inference time and require substantial …

abstract alzheimer's arxiv challenges classification cnns convolutional convolutional neural networks cs.cv cs.lg dependencies detection disease domain edge face features images imaging mamba medical medical imaging mri networks neural networks scans spatial struggle transformers type vision while