BSNet-TCE2022

Runmin Cong, Yumo Zhang, Ning Yang, Haisheng Li, Xueqi Zhang, Ruochen Li, Zewen Chen, Yao Zhao, and Sam Kwong, Boundary guided semantic larning for real-time COVID-19 lung infection segmentation system, IEEE Transactions on Consumer Electronics, 2022.

• Results:
  • We provide the resutls of our BSNet on the merged dataset.

Baidu Cloud: https://pan.baidu.com/s/1E9etJ1lPCGsHuZW_LbwdYw  Password: 1234

• Pretrained model:
  • We provide our testing code. If you test our model, please download the pretrained model, unzip it, and put the checkpoint BSNet.pth to weights/ folder.
  • Pretrained model download:

Baidu Cloud: https://pan.baidu.com/s/1f3xn1pr7unIIZ1_6xRnqHg  Password: 1234

Data Preprocessing

If you test our model, please download the testing subset of merged dataset, and put the data to TestingSet/ folder.

• Testing subset of merged dataset:

Baidu Cloud: https://pan.baidu.com/s/1qNE82vL9gT4qmc_9_PeKFg  Password: 1234

Test

please run the following code for a quick start:

python test.py

If you use our BCS-NET, please cite our paper:

@article{crm/tce22/covid,
 author    = {Runmin Cong and Yumo Zhang and Ning Yang and Haisheng Li and Xueqi Zhang and Ruochen Li and  Zewen Chen and Yao Zhao and Sam Kwong},
 title     = {Boundary guided semantic larning for real-time {COVID-19} lung infection segmentation system},
 journal   = {IEEE Trans. Consum. Electron.},
 year      = {early access, doi: 10.1109/TCE.2022.3205376},
}

Contact Us:

If you have any questions, please contact Runmin Cong (rmcong@bjtu.edu.cn).