Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
Analysis
This article likely presents a novel approach to improving the resolution of Magnetic Resonance Imaging (MRI) scans using a Vision Mamba model and a hybrid selective scanning technique. The focus is on efficiency, suggesting an attempt to optimize the process for faster and potentially more accurate results. The use of 'hybrid selective scanning' implies a combination of different scanning strategies to achieve the desired super-resolution.
Key Takeaways
Reference
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