ai-med / quickNAT_pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Date Created 2018-05-24 (6 years ago)

Commits 97 (last one 3 years ago)

Stargazers 101 (0 this week)

Watchers 9 (0 this week)

Forks 36

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these ai-med/quickNAT_pytorch is ranked #286,599 (51st percentile) for total stargazers, and #223,346 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #52,840/115,001.

ai-med/quickNAT_pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#4,984/8339), machine-learning (#4,672/7866), pytorch (#3,526/5908), ai (#2,043/3805), computer-vision (#1,748/3052), segmentation (#352/624), convolutional-neural-networks (#325/535), medical-imaging (#154/279)

Other Information

ai-med/quickNAT_pytorch has Github issues enabled, there are 7 open issues and 14 closed issues.

All Topics

ai pytorch bayesian biomarkers mri-images uncertainty neuroanatomy segmentation brain-imaging deep-learning computer-vision medical-imaging quality-control machine-learning convolutional-neural-networks

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

0 commits on the default branch (master) since jan '22

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-10-14 @ 12:27pm, id: 134691074 / R_kgDOCAc5Ag