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3D cerebrovascular volume segmentation in Pytorch.

Python 100.00%

3d-segmentation pytorch cnn u-net-pytorch medical medical-imaging re-net cerebrovascular

re-net's Introduction

MICCAI 2020 Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network

This repo is the official implementation of Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network

I. Experiment Results:

II. Usage:

Using the train3d.py and predict3d.py to train and test the model on your own dataset, respectively.

The proposed network model RE-Net is defined in the model.py in models folder. It can be easily edited and embed in your own code.

III. Requirements:

PyTorch = 1.2.0
tqdm
SimpleITK
visdom

IV. Citation：

If our paper or code is helpful to you, please cite our paper. If you have any questions, please feel free to ask me.

@inproceedings{zhang2020cerebrovascular,
  title={Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network},
  author={Zhang, Hao and Xia, Likun and Song, Ran and Yang, Jianlong and Hao, Huaying and Liu, Jiang and Zhao, Yitian},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={66--75},
  year={2020},
  organization={Springer}
}

re-net's People

Contributors

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Watchers

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abbas009 ritaxuu shentong-hbu chapmanbe zwk062

re-net's Issues

请问.tre血管文件如何转换为与之相对应的.mha文件?谢谢

Renitex questions

Dear author, is there any code related to Renitex in the process of data preprocessing？ Thank you very much.

RE-Net questions

Dear Mr.author,
I am interested in RE-Net. I want to repeat it. However, I found that some programs, such as visualize and evaluation_metrics3D, are missing from the Utils. At you are convenient, would you please upload the relevant program? Thx.

请问测试集有多少volume？谢谢

你好，可以更新一下Retinex模块的代码吗

Problem in dataset

Hello dear author,

My research interest relies on your subject. I wanted to run this code but I could not find the dataset which you used. I tried to use another dataset in the format of nii.gz, but your code can not run on this dataset.
Would you please help me in this problem?

Sincerely

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