Summary of Vision Mamba: Cutting-edge Classification Of Alzheimer’s Disease with 3d Mri Scans, by Muthukumar K a et al.
Vision Mamba: Cutting-Edge Classification of Alzheimer’s Disease with 3D MRI Scans
by Muthukumar K A, Amit Gurung, Priya Ranjan
First submitted to arxiv on: 9 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes an innovative approach to classify 3D Magnetic Resonance Imaging (MRI) images for early detection of Alzheimer’s disease. The authors address limitations in traditional Convolutional Neural Networks (CNNs) and Transformers, which struggle with long-range dependencies and computational efficiency when processing high-resolution 3D data. They introduce Vision Mamba, a State Space Model-based model that leverages dynamic state representations and the selective scan algorithm to efficiently capture spatial information across 3D volumes. This architecture combines parallelizable convolutional operations during training with efficient recurrent processing of states during inference, improving computational efficiency and handling long-range dependencies. The authors demonstrate that Vision Mamba outperforms traditional models in terms of accuracy, making it a promising tool for early detection of Alzheimer’s disease. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about finding a way to use machines to help doctors detect Alzheimer’s disease earlier by looking at special kinds of pictures called 3D MRI images. The authors are trying to solve some big problems with the ways that computers currently do this, like needing too much computing power and memory. They come up with a new way called Vision Mamba that is better at finding important information in these images and doesn’t use as much computer power. This might be helpful for doctors to diagnose Alzheimer’s earlier. |
Keywords
» Artificial intelligence » Inference
