SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image

Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin 0003. SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. pages 987-994, ijcai.org, 2022. [doi]

@inproceedings{JiangXWLCT022,
  title = {SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image},
  author = {Yankai Jiang and Ke Xu and Xinyue Wang and Yuan Li and Hongguang Cui and Yubo Tao and Hai Lin 0003},
  year = {2022},
  doi = {10.24963/ijcai.2022/138},
  url = {https://doi.org/10.24963/ijcai.2022/138},
  researchr = {https://researchr.org/publication/JiangXWLCT022},
  cites = {0},
  citedby = {0},
  pages = {987-994},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022},
  editor = {Luc De Raedt},
  publisher = {ijcai.org},
}