https://github.com/h4wk507/lidc-idri

ResUNet segmentation
https://github.com/h4wk507/lidc-idri

Last synced: 21 days ago
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ResUNet segmentation

• Host: GitHub
• URL: https://github.com/h4wk507/lidc-idri
• Owner: H4wk507
• Created: 2024-04-28T11:51:09.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-11T23:49:35.000Z (5 months ago)
• Last Synced: 2024-06-12T07:05:09.998Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.02 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: readme.md

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README

        
## Download dataset

1. Download 'archive.zip' from https://www.kaggle.com/datasets/washingtongold/lidcidri30

2. Unzip it into lidc directory (this could take a while)

```bash

unzip archive.zip -d lidc

```

## Install dependencies

Some old dependencies won't run with newer versions of numpy and python.

In python 3.9 everything works fine.

```bash

python3.9 -m venv venv

source venv/bin/activate

python3.9 -m pip install -r requirements.txt

```

## References

- [Road Extraction by Deep Residual U-Net](https://arxiv.org/pdf/1711.10684)

- [ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data](https://arxiv.org/pdf/1904.00592)

- [ResUNet++: An Advanced Architecture for Medical Image Segmentation](https://arxiv.org/pdf/1911.07067)