# gaudot/SlicerDentalSegmentator

<https://repo.masters-masters.com/en/repos/gaudot/SlicerDentalSegmentator>

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

gaudot/SlicerDentalSegmentator has 198 stars on GitHub. Its RepoMasters card: Prototype tier. 3D Slicer extension for fully-automatic segmentation of CT and…

| Field | Value |
| --- | --- |
| Owner | [gaudot](https://repo.masters-masters.com/en/owners/gaudot) |
| Stars | 198 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | 3d-slicer-extension, artificial-intelligence, medical-image-processing, nnunet |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gaudot/SlicerDentalSegmentator](https://github.com/gaudot/SlicerDentalSegmentator) |

## Repository

3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.

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

## Nearby in Python

- [lusouldepth-ai/FDE\_Learning · ★ 198 · Python · Prototype](https://repo.masters-masters.com/en/repos/lusouldepth-ai/FDE_Learning)
- [NewBeeM4n/codex-overload-fix · ★ 198 · Python · Prototype](https://repo.masters-masters.com/en/repos/NewBeeM4n/codex-overload-fix)
- [test-bit-sys/algeria-geo · ★ 198 · Python · Prototype](https://repo.masters-masters.com/en/repos/test-bit-sys/algeria-geo)
- [ask/carrot · ★ 198 · Python · Prototype](https://repo.masters-masters.com/en/repos/ask/carrot)
- [jamesturk/django-markupfield · ★ 198 · Python · Prototype](https://repo.masters-masters.com/en/repos/jamesturk/django-markupfield)
- [louissobel/Drapache · ★ 198 · Python · Prototype](https://repo.masters-masters.com/en/repos/louissobel/Drapache)

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