# ge-xing/Diff-UNet

<https://repo.masters-masters.com/en/repos/ge-xing/Diff-UNet>

[Home](https://repo.masters-masters.com/en) › [ge-xing](https://repo.masters-masters.com/en/owners/ge-xing) › [Diff-UNet](https://repo.masters-masters.com/en/repos/ge-xing/Diff-UNet)

ge-xing/Diff-UNet has 198 stars on GitHub. Its RepoMasters card: Prototype tier. Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using…

| Field | Value |
| --- | --- |
| Owner | [ge-xing](https://repo.masters-masters.com/en/owners/ge-xing) |
| Stars | 198 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | 3d, brats2020, diffusion-models, medical-imaging, segmentation, unet, btcv |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ge-xing/Diff-UNet](https://github.com/ge-xing/Diff-UNet) |

## Repository

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.