Multiple Pseudo-labels by Noise-Aware Network(MPNN)

• Implementation of our work Multiple Pseudo-labels by Noise-Aware Network for accurate segmentation of optic disc and cup (CSCWD 2024).

Multiple Pseudo-labels Generation and Guided Denoising(MPGGD)

python generate_pseudo.py

Contains created labels and pseudo-labels. There is no fixed seed when generating pseudo-labels：https://pan.baidu.com/s/1dQFsbQO485AD7csSGxIBQw （the first data is the origin RIGA dataset）

Training

python MPNN.py

Citation

@article{weng2023accurate,
  title={Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-Aware Learning},
  author={Weng, Tengjin and Shen, Yang and Zhao, Zhidong and Cheng, Zhiming and Wang, Shuai},
  journal={arXiv preprint arXiv:2311.18496},
  year={2023}
}

ARXIV:[2311.18496] Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-Aware Learning (arxiv.org)