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 37

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RepositoryStats indexes 589,134 repositories, of these ai-med/quickNAT_pytorch is ranked #290,247 (51st percentile) for total stargazers, and #224,707 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #53,805/117,584.

ai-med/quickNAT_pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#5,026/8438), machine-learning (#4,724/7978), pytorch (#3,561/5977), ai (#2,109/3952), computer-vision (#1,769/3101), segmentation (#354/633), convolutional-neural-networks (#327/545), medical-imaging (#156/283)

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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

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updated: 2024-11-15 @ 08:00am, id: 134691074 / R_kgDOCAc5Ag