IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting

M. Zhu, Kun Zeng, Ge Lin, Yongyi Gong, T. Hao, Kanoksak Wattanachote, Xiaonan Luo. IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting. IET Image Processing, 16(13):3617-3633, 2022. [doi]

@article{ZhuZLGHWL22,
  title = {IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting},
  author = {M. Zhu and Kun Zeng and Ge Lin and Yongyi Gong and T. Hao and Kanoksak Wattanachote and Xiaonan Luo},
  year = {2022},
  doi = {10.1049/ipr2.12580},
  url = {https://doi.org/10.1049/ipr2.12580},
  researchr = {https://researchr.org/publication/ZhuZLGHWL22},
  cites = {0},
  citedby = {0},
  journal = {IET Image Processing},
  volume = {16},
  number = {13},
  pages = {3617-3633},
}