Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen. Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Volume 12905 of Lecture Notes in Computer Science, pages 153-162, Springer, 2021. [doi]

@inproceedings{YinLSY21,
  title = {Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification},
  author = {Chong Yin and Siqi Liu and Rui Shao and Pong C. Yuen},
  year = {2021},
  doi = {10.1007/978-3-030-87240-3_15},
  url = {https://doi.org/10.1007/978-3-030-87240-3_15},
  researchr = {https://researchr.org/publication/YinLSY21},
  cites = {0},
  citedby = {0},
  pages = {153-162},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V},
  editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
  volume = {12905},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87240-3},
}