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 756 (last one 3 days ago)

Stargazers 181 (0 this week)

Watchers 7 (0 this week)

Forks 28

License gpl-3.0

Ranking

RepositoryStats indexes 565,600 repositories, of these ENHANCE-PET/MOOSE is ranked #187,677 (67th percentile) for total stargazers, and #265,501 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #33,168/111,362.

Other Information

ENHANCE-PET/MOOSE has 1 open pull request on Github, 59 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 62 closed issues.

There have been 11 releases, the latest one was published on 2023-10-18 (11 months ago) with the name moosez-v.2.2.37.

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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Recent Commit History

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

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Languages

The only known language in this repository is Python

updated: 2024-09-27 @ 11:02am, id: 473583082 / R_kgDOHDpN6g