Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation

Yutong Liu, Haijiang Zhu, Mengting Liu, Huaiyuan Yu, Zihan Chen, Jie Gao. Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation. In Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan, editors, Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada. pages 3819-3827, AAAI Press, 2024. [doi]

@inproceedings{LiuZLYCG24,
  title = {Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation},
  author = {Yutong Liu and Haijiang Zhu and Mengting Liu and Huaiyuan Yu and Zihan Chen and Jie Gao},
  year = {2024},
  doi = {10.1609/aaai.v38i4.28173},
  url = {https://doi.org/10.1609/aaai.v38i4.28173},
  researchr = {https://researchr.org/publication/LiuZLYCG24},
  cites = {0},
  citedby = {0},
  pages = {3819-3827},
  booktitle = {Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada},
  editor = {Michael J. Wooldridge and Jennifer G. Dy and Sriraam Natarajan},
  publisher = {AAAI Press},
}