gunahn/StyleGAN2-ADA-pytorch-for-gray-images
This is my code for StlyeGAN2-ADA-PyTorch for gray images.
This project helps medical researchers and students generate synthetic high-resolution gray-scale images, specifically demonstrated with knee plain radiography X-rays. You input a collection of existing gray-scale images (like real X-rays), and it outputs a diverse set of new, artificial gray-scale images that look authentic. This is useful for anyone needing more medical imaging data for training, research, or educational purposes without using real patient data.
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Use this if you need to create realistic, high-resolution synthetic gray-scale medical images to augment your dataset for research or training.
Not ideal if you need to generate color images or if your primary goal is to analyze existing images rather than create new ones.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 28, 2022
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