Class-Balanced Affinity Loss for Highly Imbalanced Tissue Classification in Computational Pathology

Taslim Mahbub, Ahmad Obeid 0001, Sajid Javed, Jorge Dias 0001, Naoufel Werghi. Class-Balanced Affinity Loss for Highly Imbalanced Tissue Classification in Computational Pathology. In Jean-Jacques Rousseau, Bill Kapralos, editors, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part I. Volume 13643 of Lecture Notes in Computer Science, pages 499-513, Springer, 2022. [doi]

@inproceedings{MahbubOJDW22,
  title = {Class-Balanced Affinity Loss for Highly Imbalanced Tissue Classification in Computational Pathology},
  author = {Taslim Mahbub and Ahmad Obeid 0001 and Sajid Javed and Jorge Dias 0001 and Naoufel Werghi},
  year = {2022},
  doi = {10.1007/978-3-031-37660-3_35},
  url = {https://doi.org/10.1007/978-3-031-37660-3_35},
  researchr = {https://researchr.org/publication/MahbubOJDW22},
  cites = {0},
  citedby = {0},
  pages = {499-513},
  booktitle = {Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part I},
  editor = {Jean-Jacques Rousseau and Bill Kapralos},
  volume = {13643},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-37660-3},
}