Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images

Cite

Text

Li et al. "Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I4.28082

Markdown

[Li et al. "Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/li2024aaai-point-a/) doi:10.1609/AAAI.V38I4.28082

BibTeX

@inproceedings{li2024aaai-point-a,
  title     = {{Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images}},
  author    = {Li, Bao and Liu, Zhenyu and Shao, Lizhi and Qiu, Bensheng and Bu, Hong and Tian, Jie},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {3000-3008},
  doi       = {10.1609/AAAI.V38I4.28082},
  url       = {https://mlanthology.org/aaai/2024/li2024aaai-point-a/}
}