ENHANCE-PET / MOOSE

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

Date Created 2022-03-24 (2 years ago)

Commits 904 (last one 7 days ago)

Stargazers 226 (0 this week)

Watchers 7 (0 this week)

Forks 32

License apache-2.0

Ranking

RepositoryStats indexes 622,749 repositories, of these ENHANCE-PET/MOOSE is ranked #170,658 (73rd percentile) for total stargazers, and #274,889 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,604/126,369.

Other Information

ENHANCE-PET/MOOSE has 1 open pull request on Github, 76 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 77 closed issues.

There have been 22 releases, the latest one was published on 2025-02-25 (7 days ago) with the name moosez-v.3.0.13.

Homepage URL: https://enhance.pet

All Topics

nnunet pet-ct tb-pet 3d-segmentation ct-segmentation fat-segmentation bone-segmentation brain-segmentation organ-segmentation psoas-segmentation muscle-segmentation total-body-segmentation

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904 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2025-03-01 @ 07:06am, id: 473583082 / R_kgDOHDpN6g