U-Net

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PyTorch implementation of 1D, 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 <https://arxiv.org/abs/1505.04597>. The 3D version was described in Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation <https://arxiv.org/abs/1606.06650>.

Installation

::

pip install unet

Credits

If you used this code for your research, please cite this repository using the information available on its Zenodo entry <https://doi.org/10.5281/zenodo.3697931>_:

Pérez-García, Fernando. (2020). fepegar/unet: PyTorch implementation of 2D and 3D U-Net (v0.7.5). Zenodo. https://doi.org/10.5281/zenodo.3697931