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 845 (last one 6 days ago)

Stargazers 191 (0 this week)

Watchers 7 (0 this week)

Forks 28

License gpl-3.0

Ranking

RepositoryStats indexes 579,555 repositories, of these ENHANCE-PET/MOOSE is ranked #183,632 (68th percentile) for total stargazers, and #268,427 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #32,589/115,123.

Other Information

ENHANCE-PET/MOOSE has Github issues enabled, there is 1 open issue and 68 closed issues.

There have been 11 releases, the latest one was published on 2023-10-18 (about a year 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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845 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Python

updated: 2024-11-05 @ 07:20pm, id: 473583082 / R_kgDOHDpN6g