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This code accompanies the paper: Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids

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Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids

Pacific-Rim Symposium on Image and Video Technology 2019

Authors: R. Dachsel, A. Jöster, M. Breuß

Paper can be found here: https://link.springer.com/chapter/10.1007/978-3-030-34879-3_26

If you use this code, please cite the paper.

@inproceedings{dachsel2019vesselsegmentation,
  title={Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids},
  author={Dachsel, Robert and Jöster, Annika and Breuß, Michael},
  booktitle={Proceedings of the Pacific-Rim Symposium on Image and Video Technology},
  pages={337--350},
  year={2019}
}

If you use the high resolution dataset, please cite the paper.

@inproceedings{budai2013,
  title={Robust vessel segmentation in fundus images},
  author={Budai, A. and Bock, R. and Maier, A.},
  booktitle={Biomed. Imaging},
  year={2013}
}

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This code accompanies the paper: Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids

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