black0017/MedicalZooPytorch
A PyTorch library providing state-of-the-art 3D deep neural network architectures for multi-modal medical image segmentation with data loaders for common medical imaging datasets.
Not currently ranked — collecting fresh signals.
star history
This repository implements a collection of 3D deep learning architectures for medical image segmentation, including U-Net, ResNet, and DenseNet variants. It provides data loaders for popular medical imaging challenges such as BraTS 2018/2019, iSeg, and MRBrains18. The library focuses on multi-modal 3D brain MRI segmentation but supports extensible architecture additions. Users can train, evaluate, and perform inference with pre-built segmentation models on medical imaging data.
Frequently asked
- What is black0017/MedicalZooPytorch?
- A PyTorch library providing state-of-the-art 3D deep neural network architectures for multi-modal medical image segmentation with data loaders for common medical imaging datasets.
- Is MedicalZooPytorch open source?
- Yes — black0017/MedicalZooPytorch is open source, released under the MIT license.
- What language is MedicalZooPytorch written in?
- black0017/MedicalZooPytorch is primarily written in Python.
- How popular is MedicalZooPytorch?
- black0017/MedicalZooPytorch has 1.9k stars on GitHub.
- Where can I find MedicalZooPytorch?
- black0017/MedicalZooPytorch is on GitHub at https://github.com/black0017/MedicalZooPytorch.