# ai-med/quickNAT\_pytorch

<https://repo.masters-masters.com/en/repos/ai-med/quickNAT_pytorch>

[Home](https://repo.masters-masters.com/en) › [ai-med](https://repo.masters-masters.com/en/owners/ai-med) › [quickNAT\_pytorch](https://repo.masters-masters.com/en/repos/ai-med/quickNAT_pytorch)

ai-med/quickNAT\_pytorch has 104 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain…

| Field | Value |
| --- | --- |
| Owner | [ai-med](https://repo.masters-masters.com/en/owners/ai-med) |
| Stars | 104 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | deep-learning, brain-imaging, mri-images, segmentation, biomarkers, machine-learning, convolutional-neural-networks, computer-vision, medical-imaging, ai |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ai-med/quickNAT\_pytorch](https://github.com/ai-med/quickNAT_pytorch) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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