MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss

Haseeb Nazki, Ognjen Arandjelovic, In Hwa Um, David J. Harrison. MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss. In Jiman Hong, Maart Lanperne, Juw Won Park, Tomás Cerný, Hossain Shahriar, editors, Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023. pages 1197-1204, ACM, 2023. [doi]

@inproceedings{NazkiAUH23,
  title = {MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss},
  author = {Haseeb Nazki and Ognjen Arandjelovic and In Hwa Um and David J. Harrison},
  year = {2023},
  doi = {10.1145/3555776.3578612},
  url = {https://doi.org/10.1145/3555776.3578612},
  researchr = {https://researchr.org/publication/NazkiAUH23},
  cites = {0},
  citedby = {0},
  pages = {1197-1204},
  booktitle = {Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023},
  editor = {Jiman Hong and Maart Lanperne and Juw Won Park and Tomás Cerný and Hossain Shahriar},
  publisher = {ACM},
  isbn = {978-1-4503-9517-5},
}