haoningwu3639/MRGen
[ICCV 2025] MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
This project helps medical professionals and researchers improve MRI image segmentation, especially for less common MRI types. It takes existing medical images, masks, and text descriptions to generate new, high-quality synthetic MRI data. Radiologists, medical imaging scientists, and anyone developing diagnostic tools can use this to create robust training datasets for medical image analysis.
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Use this if you need to create diverse, high-quality synthetic MRI images and their corresponding segmentation masks to train machine learning models, especially when real data for certain MRI modalities is scarce.
Not ideal if you are looking for an out-of-the-box diagnostic tool, as this project focuses on data generation for training other models.
Stars
39
Forks
2
Language
Python
License
MIT
Category
Last pushed
Sep 26, 2025
Commits (30d)
0
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