A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation

Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah. A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. In Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst, editors, Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Volume 143 of Proceedings of Machine Learning Research, pages 158-167, PMLR, 2021. [doi]

@inproceedings{JurdiPHCA21-0,
  title = {A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation},
  author = {Rosana El Jurdi and Caroline Petitjean and Paul Honeine and Veronika Cheplygina and Fahed Abdallah},
  year = {2021},
  url = {https://proceedings.mlr.press/v143/el-jurdi21a.html},
  researchr = {https://researchr.org/publication/JurdiPHCA21-0},
  cites = {0},
  citedby = {0},
  pages = {158-167},
  booktitle = {Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany},
  editor = {Mattias P. Heinrich and Qi Dou and Marleen de Bruijne and Jan Lellmann and Alexander Schlaefer and Floris Ernst},
  volume = {143},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}