Red Blood Cells Segmentation: A Fully Convolutional Network Approach

Ario Sadafi, Martin Radolko, Iosif Serafeimidis, Steffen Hadlak. Red Blood Cells Segmentation: A Fully Convolutional Network Approach. In Jinjun Chen, Laurence T. Yang, editors, IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, Melbourne, Australia, December 11-13, 2018. pages 911-914, IEEE, 2018. [doi]

@inproceedings{SadafiRSH18,
  title = {Red Blood Cells Segmentation: A Fully Convolutional Network Approach},
  author = {Ario Sadafi and Martin Radolko and Iosif Serafeimidis and Steffen Hadlak},
  year = {2018},
  doi = {10.1109/BDCloud.2018.00134},
  url = {https://doi.org/10.1109/BDCloud.2018.00134},
  researchr = {https://researchr.org/publication/SadafiRSH18},
  cites = {0},
  citedby = {0},
  pages = {911-914},
  booktitle = {IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, Melbourne, Australia, December 11-13, 2018},
  editor = {Jinjun Chen and Laurence T. Yang},
  publisher = {IEEE},
  isbn = {978-1-7281-1141-4},
}