Multi-level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-supervised Cardiac MRI Segmentation

Ruohan Lin, Wangjing Qi, Tao Wang. Multi-level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-supervised Cardiac MRI Segmentation. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part I. Volume 14447 of Lecture Notes in Computer Science, pages 552-563, Springer, 2023. [doi]

@inproceedings{LinQW23,
  title = {Multi-level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-supervised Cardiac MRI Segmentation},
  author = {Ruohan Lin and Wangjing Qi and Tao Wang},
  year = {2023},
  doi = {10.1007/978-981-99-8079-6_43},
  url = {https://doi.org/10.1007/978-981-99-8079-6_43},
  researchr = {https://researchr.org/publication/LinQW23},
  cites = {0},
  citedby = {0},
  pages = {552-563},
  booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part I},
  editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
  volume = {14447},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8079-6},
}