https://github.com/fepegar/unet
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
https://github.com/fepegar/unet
convolutional-neural-networks deep-learning medical-imaging unet unet-image-segmentation unet-pytorch
Last synced: 2 months ago
JSON representation
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
- Host: GitHub
- URL: https://github.com/fepegar/unet
- Owner: fepegar
- License: mit
- Created: 2019-07-12T23:02:36.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2023-11-14T19:01:54.000Z (over 1 year ago)
- Last Synced: 2024-04-26T13:02:35.157Z (about 1 year ago)
- Topics: convolutional-neural-networks, deep-learning, medical-imaging, unet, unet-image-segmentation, unet-pytorch
- Language: Python
- Homepage:
- Size: 89.8 KB
- Stars: 134
- Watchers: 3
- Forks: 22
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
Awesome Lists containing this project
README
U-Net
=====
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3522306.svg
:target: https://doi.org/10.5281/zenodo.3522306
:alt: DOI
.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
:target: https://opensource.org/licenses/MIT
:alt: License
.. image:: https://img.shields.io/pypi/v/unet.svg
:target: https://pypi.python.org/pypi/unet
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 `_.
The 3D version was described in
`Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from
Sparse Annotation `_.
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 `_:
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