On the Uncertainty of Retinal Artery-Vein Classification with Dense Fully-Convolutional Neural Networks

Azat Garifullin, Lasse Lensu, Hannu Uusitalo. On the Uncertainty of Retinal Artery-Vein Classification with Dense Fully-Convolutional Neural Networks. In Jacques Blanc-Talon, Patrice Delmas, Wilfried Philips, Dan Popescu 0001, Paul Scheunders, editors, Advanced Concepts for Intelligent Vision Systems - 20th International Conference, ACIVS 2020, Auckland, New Zealand, February 10-14, 2020, Proceedings. Volume 12002 of Lecture Notes in Computer Science, pages 87-98, Springer, 2020. [doi]

@inproceedings{GarifullinLU20,
  title = {On the Uncertainty of Retinal Artery-Vein Classification with Dense Fully-Convolutional Neural Networks},
  author = {Azat Garifullin and Lasse Lensu and Hannu Uusitalo},
  year = {2020},
  doi = {10.1007/978-3-030-40605-9_8},
  url = {https://doi.org/10.1007/978-3-030-40605-9_8},
  researchr = {https://researchr.org/publication/GarifullinLU20},
  cites = {0},
  citedby = {0},
  pages = {87-98},
  booktitle = {Advanced Concepts for Intelligent Vision Systems - 20th International Conference, ACIVS 2020, Auckland, New Zealand, February 10-14, 2020, Proceedings},
  editor = {Jacques Blanc-Talon and Patrice Delmas and Wilfried Philips and Dan Popescu 0001 and Paul Scheunders},
  volume = {12002},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-40605-9},
}