PyTorch implementation of 2D and 3D U-Net
PyTorch implementation of 2D and 3D U-Net.
The U-Net architecture was first described in Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image Segmentation. The 3D version was described in Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.
- Free software: MIT license
- Documentation: https://unet.readthedocs.io.
- First release on PyPI.
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