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PyTorch implementation of 2D and 3D U-Net

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DOI License Documentation Status Updates

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.


  • TODO


If you used this code for your research, please cite this repository using the information available on its Zenodo entry.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


0.4.0 (2019-10-29)

  • First release on PyPI.

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