BCS-Net-TIM22

Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, and Sam Kwong, "BCS-Net: Boundary, context and semantic for automatic COVID-19 lung infection segmentation from CT images," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022.

Results of BCS-NET:

Results:
- We provide the resutls of our BCS-NET on COVID-19 CT segmentation dataset, and COVID-19 CT lung and infection segmentation dataset.

Baidu Cloud: https://pan.baidu.com/s/1NZx0RE-cliQ0zJ6bYDqDow   Password: u1v1

Pytorch Code of BCS-NET:

Pytorch implementation of BCS-NET
Pretrained model:
- We provide our testing code. If you test our model, please download the pretrained model, unzip it, and put the checkpoint model_BCS.pth to checkpoints/save_weights/ folder and put the pretrained backbone res2net50_v1b_26w_4s-3cf99910.pth to checkpoints folder.
- Pretrained model download:

Baidu Cloud: https://pan.baidu.com/s/1NZx0RE-cliQ0zJ6bYDqDow   Password: u1v1

Requirements

Python 3.7
Pytorch 1.6.0
torchvision

Data Preprocessing

Please download the test data, and put the data to Dataset/ folder.
COVID-19 CT segmentation dataset: https://medicalsegmentation.com/COVID19/, COVID-19 CT lung and infection segmentation dataset: https://zenodo.org/record/3757476
NII file processing tool and edge generation tool in Dataset/ folder.
train and test datasets:

Baidu Cloud: https://pan.baidu.com/s/1qONGZ8pvT7jXl0lkeUpS8w   Password: uic5

Test

python test.py

You can find the results in the 'Results/' folder.

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

@article{crm/tim22/covid,
   author    = {Runmin Cong and Haowei Yang and  Qiuping Jiang and Wei Gao and Hai{-}Sheng Li and Cong Wang and Yao Zhao andSam Kwong},
   title     = {{BCS-Net}: Boundary, Context, and Semantic for Automatic {COVID-19} Lung Infection Segmentation From {CT} Images},
   journal   = {{IEEE} Trans. Instrum. Meas.},
   volume    = {71},
   pages     = {1--11},
   year      = {2022}
  }

Contact Us:

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

rmcong/BCS-Net-TIM22