Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang. Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference. 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 3477-3485, AAAI Press, 2024. [doi]

@inproceedings{LinZYW24,
  title = {Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference},
  author = {Weiping Lin and Zhenfeng Zhuang and Lequan Yu and Liansheng Wang},
  year = {2024},
  doi = {10.1609/aaai.v38i4.28135},
  url = {https://doi.org/10.1609/aaai.v38i4.28135},
  researchr = {https://researchr.org/publication/LinZYW24},
  cites = {0},
  citedby = {0},
  pages = {3477-3485},
  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},
}