ExplainableML/UncerGuidedI2I
Uncertainty Guided Progressive GANs for Medical Image Translation
This project helps medical imaging researchers improve the quality of medical scans by translating corrupted or low-quality images into clearer, higher-quality versions. It takes a set of medical images (like MRI or PET/CT scans) that might have issues like motion artifacts or undersampling, and outputs enhanced versions. The primary users are researchers or scientists working with medical imaging data who need to refine scans for analysis or further study.
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Use this if you are a medical imaging researcher looking to automatically clean up and enhance noisy, corrupted, or incomplete medical scans using advanced generative models.
Not ideal if you need a pre-built, production-ready application for immediate clinical deployment, as this is a research-focused codebase for training models.
Stars
54
Forks
11
Language
Jupyter Notebook
License
GPL-3.0
Last pushed
Jun 30, 2021
Commits (30d)
0
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