ge-xing/Diff-UNet
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)
This tool helps medical imaging specialists and radiologists automatically outline specific structures within 3D medical scans. You provide a volumetric scan (like an MRI or CT), and it accurately highlights regions of interest, such as tumors or organs. This is designed for researchers and clinicians working with diagnostic medical images.
192 stars. No commits in the last 6 months.
Use this if you need highly accurate, automated segmentation of organs or pathologies in 3D medical image data, like those from brain or abdominal scans.
Not ideal if you are working with 2D images, non-medical imaging data, or require real-time, ultra-fast segmentation for surgical navigation.
Stars
192
Forks
29
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ge-xing/Diff-UNet"
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