semvec/pypi-packages huggingface dataset:
unet 0.8.1
PyTorch implementation of 1D, 2D and 3D U-Net.
Requires Python: >=3.9

U-Net
=====


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        :alt: DOI

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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