Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation

Shuo Han, Jerry L. Prince, Aaron Carass. Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation. In Ivana Isgum, Bennett A. Landman, editors, Medical Imaging 2020: Image Processing, SPIE MEDICAL IMAGING, Houston, TX, USA, February 15-20, 2020. Volume 11313 of SPIE Proceedings, pages 1131337, SPIE, 2020. [doi]

@inproceedings{HanPC20,
  title = {Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation},
  author = {Shuo Han and Jerry L. Prince and Aaron Carass},
  year = {2020},
  doi = {10.1117/12.2549399},
  url = {https://doi.org/10.1117/12.2549399},
  researchr = {https://researchr.org/publication/HanPC20},
  cites = {0},
  citedby = {0},
  pages = {1131337},
  booktitle = {Medical Imaging 2020: Image Processing, SPIE MEDICAL IMAGING, Houston, TX, USA, February 15-20, 2020},
  editor = {Ivana Isgum and Bennett A. Landman},
  volume = {11313},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633933},
}