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IEEE-TMI 2022: code for 'Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation with Dual Adaptive Graph Convolutional Networks'

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Dual_Adaptive_Graph_Reasoning

Train

  • run python train.py

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Qualitative Results of Coherence Comparison

alt text

Citation

If you find our work useful or our work gives you any insights, please cite:

@article{meng2022dual,
  title={Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation with Dual Adaptive Graph Convolutional Networks},
  author={Meng, Yanda and Zhang, Hongrun and Zhao, Yitian and Gao, Dongxu and Hamill, Barbra and Patri, Godhuli and Peto, Tunde and Madhusudhan, Savita and Zheng, Yalin},
  journal={IEEE Transactions on Medical Imaging},
  year={2022},
  publisher={IEEE}
}

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IEEE-TMI 2022: code for 'Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation with Dual Adaptive Graph Convolutional Networks'

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