GinZhu/RDST
Official implementation of RDST. A residual dense swin transformer for medical image super-resolution
This project helps medical professionals and researchers improve the clarity and detail of low-resolution medical images. It takes raw medical scans (like MRI, CT, or X-ray) and outputs enhanced, higher-resolution versions, making subtle features more visible. This tool is ideal for radiologists, clinical diagnosticians, and medical image analysts who need to extract maximum information from their imaging data.
No commits in the last 6 months.
Use this if you need to enhance the resolution of medical images to improve diagnostic accuracy or research quality, especially when working with various medical imaging modalities.
Not ideal if you are looking for a general-purpose image super-resolution tool for non-medical photographs or graphics.
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Language
Python
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Last pushed
Mar 14, 2023
Commits (30d)
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