Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging

Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu 0003, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang. Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. In Mauricio Reyes 0001, Pedro Henriques Abreu, Jaime S. Cardoso 0001, editors, Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Volume 13611 of Lecture Notes in Computer Science, pages 1-11, Springer, 2022. [doi]

@inproceedings{ZhangCZGQYYWGY22,
  title = {Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging},
  author = {Hanxiao Zhang and Liang Chen and Minghui Zhang and Xiao Gu 0003 and Yulei Qin and Weihao Yu and Feng Yao and Zhexin Wang and Yun Gu and Guang-Zhong Yang},
  year = {2022},
  doi = {10.1007/978-3-031-17976-1_1},
  url = {https://doi.org/10.1007/978-3-031-17976-1_1},
  researchr = {https://researchr.org/publication/ZhangCZGQYYWGY22},
  cites = {0},
  citedby = {0},
  pages = {1-11},
  booktitle = {Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings},
  editor = {Mauricio Reyes 0001 and Pedro Henriques Abreu and Jaime S. Cardoso 0001},
  volume = {13611},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-17976-1},
}