Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation

Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques. Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 537-542, IEEE, 2022. [doi]

@inproceedings{DingURSP22,
  title = {Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation},
  author = {Nan Ding and Hélène Urien and Florence Rossant and Jérémie Sublime and Michel Pâques},
  year = {2022},
  doi = {10.1109/ICMLA55696.2022.00088},
  url = {https://doi.org/10.1109/ICMLA55696.2022.00088},
  researchr = {https://researchr.org/publication/DingURSP22},
  cites = {0},
  citedby = {0},
  pages = {537-542},
  booktitle = {21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022},
  editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan},
  publisher = {IEEE},
  isbn = {978-1-6654-6283-9},
}