338-neuron-segmentation-using-3d-wavelet-integrated-encoder-decoder-network

https://github.com/szu-advtech-2023/338-neuron-segmentation-using-3d-wavelet-integrated-encoder-decoder-network

Science Score: 41.0%

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    Found 2 DOI reference(s) in README
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    Links to: arxiv.org
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    Low similarity (4.4%) to scientific vocabulary
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  • Host: GitHub
  • Owner: SZU-AdvTech-2023
  • Language: Python
  • Default Branch: main
  • Size: 904 KB
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Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2023/338-Neuron-Segmentation-Using-3D-Wavelet-Integrated-Encoder-Decoder-Network/blob/main/

# 3D-WaveUNet [[paper]](https://arxiv.org/abs/2106.00259.pdf)

## (0) Neuron Sewgmentation using 3D Wavelet Integrated Encoder-Decoder Network

## (1) Training 3D WaveUNet on NeuCuDa
main.py

## (2) The dataset: NeuCuDa
NeuCuDa is on the website https://pan.baidu.com/s/1CvsI4OvXkfNu0m-Bfk_yQQ  (passwords: jdqe)

## (3) The trained weight files
will be released

## (4) Segmenting 3D neuronal images
main_denoise.py

## (5) Tracing segmented neuronal images and evaluting the reconstructions
main_compare.py

## (6) The paper

If the code or method help you in the research, please cite the following paper:
```
@article{li2021neuron,
  title={Neuron segmentation using 3D wavelet integrated encoder-decoder network},
  author={Li, Qiufu and Shen, Linlin},
  journal={Bioinformatics},
  year={2021},
  doi={https://doi.org/10.1093/bioinformatics/btab716}
}
```

Owner

  • Name: SZU-AdvTech-2023
  • Login: SZU-AdvTech-2023
  • Kind: organization

Citation (citation.txt)

@article{REPO338,
    author = "Li, Qiufu and Shen, Linlin",
    journal = "Bioinformatics",
    number = "3",
    pages = "809--817",
    publisher = "Oxford University Press",
    title = "{Neuron Segmentation Using 3D Wavelet Integrated Encoder-Decoder Network}",
    volume = "38",
    year = "2022"
}

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