FirasGit/medicaldiffusion
A denoising diffusion probabilistic model for synthesizing 3D medical images using a VQ-GAN latent space.
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This repository implements Medical Diffusion, a denoising diffusion probabilistic model for 3D medical image synthesis. It uses a three-dimensional VQ-GAN to learn a latent space representation of medical images, then trains a diffusion model in that latent space to generate new synthetic images. The approach is applied to medical imaging datasets including BraTS (brain MRI) and handles CT scans as well.
Frequently asked
- What is FirasGit/medicaldiffusion?
- A denoising diffusion probabilistic model for synthesizing 3D medical images using a VQ-GAN latent space.
- Is medicaldiffusion open source?
- Yes — FirasGit/medicaldiffusion is an open-source project tracked on heatdrop.
- What language is medicaldiffusion written in?
- FirasGit/medicaldiffusion is primarily written in Jupyter Notebook.
- How popular is medicaldiffusion?
- FirasGit/medicaldiffusion has 493 stars on GitHub.
- Where can I find medicaldiffusion?
- FirasGit/medicaldiffusion is on GitHub at https://github.com/FirasGit/medicaldiffusion.