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 882 (last one 12 days ago)

Stargazers 209 (0 this week)

Watchers 7 (0 this week)

Forks 29

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these ENHANCE-PET/MOOSE is ranked #175,483 (71st percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #31,227/119,431.

Other Information

ENHANCE-PET/MOOSE has Github issues enabled, there is 1 open issue and 73 closed issues.

There have been 16 releases, the latest one was published on 2024-12-09 (12 days ago) with the name moosez-v.3.0.7.

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

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

updated: 2024-12-19 @ 08:22pm, id: 473583082 / R_kgDOHDpN6g