https://github.com/brain-facens/u-net-segmentation-template

The U-Net architecture achieves very good performance on very different biomedical segmentation applications. This repository is a tutorial to how implement U-Net
https://github.com/brain-facens/u-net-segmentation-template

computer-vision pytorch u-net

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The U-Net architecture achieves very good performance on very different biomedical segmentation applications. This repository is a tutorial to how implement U-Net

• Host: GitHub
• URL: https://github.com/brain-facens/u-net-segmentation-template
• Owner: brain-facens
• Created: 2024-12-03T14:23:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-26T11:40:19.000Z (over 1 year ago)
• Last Synced: 2025-03-29T07:44:58.094Z (over 1 year ago)
• Topics: computer-vision, pytorch, u-net
• Language: Jupyter Notebook
• Homepage:
• Size: 4.39 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## U-Net Architecture



  


    

  


The U-Net architecture achieves very good performance on very different biomedical segmentation applications. U-net architecture (example for 32x32 pixels in the lowest resolution) as presented in Figure 1. Each blue box corresponds to a multi-channel feature map. The number of channels is denoted on top of the box. The x-y-size is provided at the lower left edge of the box. White boxes represent copied feature maps. The arrows denote the different operations. This work is based on [Ronneberger et al](https://arxiv.org/pdf/1505.04597).



## HOW TO INSTALL

```sh

conda create -n torch python==3.9

conda activate torch

git clone https://github.com/brain-facens/u-net-template.git

cd u-net-template

pip install -r requirement.txt

```

You can find the notebook in ```./notebooks/UNet_seg.ipynb```.

## 🤝 Collaborators

We would like to thank the following people who contributed to this project:

  

    

      

        


        

          Natanael Vitorino

        

      

    

  

## 📝 License

This project is under license. See the file [LICENSE](LICENSE) for more details.

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