OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation

Ignacio A. Viedma, David Alonso-Caneiro, Scott A. Read, Michael J. Collins 0001. OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation. In Jun Zhou, Olivier Salvado, Ferdous Sohel, Paulo Borges, Shilin Wang, editors, 2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{ViedmaARC21,
  title = {OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation},
  author = {Ignacio A. Viedma and David Alonso-Caneiro and Scott A. Read and Michael J. Collins 0001},
  year = {2021},
  doi = {10.1109/DICTA52665.2021.9647266},
  url = {https://doi.org/10.1109/DICTA52665.2021.9647266},
  researchr = {https://researchr.org/publication/ViedmaARC21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021},
  editor = {Jun Zhou and Olivier Salvado and Ferdous Sohel and Paulo Borges and Shilin Wang},
  publisher = {IEEE},
  isbn = {978-1-6654-1709-9},
}