mathpluscode/ImgX-DiffSeg
A JAX-based deep learning framework for image segmentation using diffusion models.
This project helps medical professionals and researchers automatically identify and outline specific structures or regions within biomedical images like MRI, CT, and ultrasound scans. You input medical images (2D or 3D), and it outputs precise segmented images, highlighting the areas of interest. This tool is for scientists, radiologists, or clinicians who need accurate anatomical segmentation for diagnosis, research, or treatment planning.
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Use this if you need to perform highly accurate and automated segmentation on various types of medical images, especially when dealing with complex or noisy data.
Not ideal if you are looking for a general-purpose image segmentation tool outside of the biomedical domain or if you require an extremely lightweight solution for simple, real-time segmentation tasks.
Stars
85
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 11, 2024
Commits (30d)
0
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