ellisdg/3DUnetCNN
A PyTorch-based 3D U-Net convolutional neural network for volumetric medical image segmentation, used for tasks like brain tumor segmentation.
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This repository provides a deep learning framework for volumetric medical image segmentation using a 3D U-Net convolutional neural network architecture. It is built with PyTorch and designed to make training and applying deep learning models to medical imaging data accessible and controllable. The project includes tutorials for common medical imaging challenges such as the BraTS brain tumor segmentation dataset, with support for custom configurations and data pipelines.
Frequently asked
- What is ellisdg/3DUnetCNN?
- A PyTorch-based 3D U-Net convolutional neural network for volumetric medical image segmentation, used for tasks like brain tumor segmentation.
- Is 3DUnetCNN open source?
- Yes — ellisdg/3DUnetCNN is open source, released under the MIT license.
- What language is 3DUnetCNN written in?
- ellisdg/3DUnetCNN is primarily written in Python.
- How popular is 3DUnetCNN?
- ellisdg/3DUnetCNN has 2.2k stars on GitHub.
- Where can I find 3DUnetCNN?
- ellisdg/3DUnetCNN is on GitHub at https://github.com/ellisdg/3DUnetCNN.