Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks

Neerav Karani, Neel Dey, Polina Golland. Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. In Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan 0001, Tanveer F. Syeda-Mahmood, Russell H. Taylor, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III. Volume 14222 of Lecture Notes in Computer Science, pages 367-377, Springer, 2023. [doi]

@inproceedings{KaraniDG23,
  title = {Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks},
  author = {Neerav Karani and Neel Dey and Polina Golland},
  year = {2023},
  doi = {10.1007/978-3-031-43898-1_36},
  url = {https://doi.org/10.1007/978-3-031-43898-1_36},
  researchr = {https://researchr.org/publication/KaraniDG23},
  cites = {0},
  citedby = {0},
  pages = {367-377},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III},
  editor = {Hayit Greenspan and Anant Madabhushi and Parvin Mousavi and Septimiu Salcudean and James Duncan 0001 and Tanveer F. Syeda-Mahmood and Russell H. Taylor},
  volume = {14222},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-43898-1},
}