A generic fundus image enhancement network boosted by frequency self-supervised representation learning

Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu

Open source

DOI
10.1016/j.media.2023.102945
Published
2023-12
Container
Medical Image Analysis
Publisher
Elsevier BV
Open access
unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.media.2023.102945,
  title = {A generic fundus image enhancement network boosted by frequency self-supervised representation learning},
  author = {Heng Li and Haofeng Liu and Huazhu Fu and Yanwu Xu and Hai Shu and Ke Niu and Yan Hu and Jiang Liu},
  year = {2023},
  journal = {Medical Image Analysis},
  doi = {10.1016/j.media.2023.102945},
  url = {https://doi.org/10.1016/j.media.2023.102945}
}

RIS

TY  - JOUR
TI  - A generic fundus image enhancement network boosted by frequency self-supervised representation learning
AU  - Heng Li
AU  - Haofeng Liu
AU  - Huazhu Fu
AU  - Yanwu Xu
AU  - Hai Shu
AU  - Ke Niu
AU  - Yan Hu
AU  - Jiang Liu
PY  - 2023
JO  - Medical Image Analysis
DO  - 10.1016/j.media.2023.102945
UR  - https://doi.org/10.1016/j.media.2023.102945
ER  - 

APA

Li, H., Liu, H., Fu, H., Xu, Y., Shu, H., Niu, K., Hu, Y., & Liu, J. (2023). A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Analysis. https://doi.org/10.1016/j.media.2023.102945

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