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[BSPC21] The Code of “MGSANet: Multi-Granularity Scale-Aware Networks for Hard Pixels Segmentation of Pulmonary Nodules”

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MGSANet

Tensorflow implementation of MGSANet: Multi-Granularity Scale-Aware Networks for Hard Pixels Segmentation of Pulmonary Nodules

Requirements

Please, install the following packages

  • numpy
  • tensorflow-gpu>=1.14
  • cv2
  • h5py
  • tqdm

Tips

If you have any questions about our work, please do not hesitate to contact us by emails.

Citation

  • If you find this work is helpful, please cite our paper
@article{wang2021multi,
  title={Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules},
  author={Wang, Kun and Zhang, Xiangbo and Zhang, Xiaohong and Huang, Sheng and Li, Jingqin and HuangFu, Luwen},
  journal={Biomedical Signal Processing and Control},
  volume={69},
  pages={102890},
  year={2021},
  publisher={Elsevier}
}

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[BSPC21] The Code of “MGSANet: Multi-Granularity Scale-Aware Networks for Hard Pixels Segmentation of Pulmonary Nodules”

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