# ImprintLab/MedSegDiff

<https://repo.masters-masters.com/en/repos/ImprintLab/MedSegDiff>

[Home](https://repo.masters-masters.com/en) › [ImprintLab](https://repo.masters-masters.com/en/owners/ImprintLab) › [MedSegDiff](https://repo.masters-masters.com/en/repos/ImprintLab/MedSegDiff)

ImprintLab/MedSegDiff has 1,365 stars on GitHub. Its RepoMasters card: Beta tier. Using Diffusion Models to Segment/Reconstruct Organs from Medical Images…

| Field | Value |
| --- | --- |
| Owner | [ImprintLab](https://repo.masters-masters.com/en/owners/ImprintLab) |
| Stars | 1,365 |
| Forks | 202 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | artificial-intelligence, deep-learning, denoising-diffusion, image-segmentation, medical-imaging, segmentation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ImprintLab/MedSegDiff](https://github.com/ImprintLab/MedSegDiff) |

## Repository

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images \[AAAI Most influential Paper\]

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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