COVID-DETECT: A Deep Learning Based Approach to Accelerate COVID-19 Detection

Nicolas Dimeglio, Sebastien Romano, Alexandre Vesseron, Vincent Pelegrin, Samir Ouchani. COVID-DETECT: A Deep Learning Based Approach to Accelerate COVID-19 Detection. In Ladjel Bellatreche, George A. Chernishev, Antonio Corral, Samir Ouchani, Jüri Vain, editors, Advances in Model and Data Engineering in the Digitalization Era - MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21-23, 2021, Proceedings. Volume 1481 of Communications in Computer and Information Science, pages 166-178, Springer, 2021. [doi]

@inproceedings{DimeglioRVPO21,
  title = {COVID-DETECT: A Deep Learning Based Approach to Accelerate COVID-19 Detection},
  author = {Nicolas Dimeglio and Sebastien Romano and Alexandre Vesseron and Vincent Pelegrin and Samir Ouchani},
  year = {2021},
  doi = {10.1007/978-3-030-87657-9_13},
  url = {https://doi.org/10.1007/978-3-030-87657-9_13},
  researchr = {https://researchr.org/publication/DimeglioRVPO21},
  cites = {0},
  citedby = {0},
  pages = {166-178},
  booktitle = {Advances in Model and Data Engineering in the Digitalization Era - MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21-23, 2021, Proceedings},
  editor = {Ladjel Bellatreche and George A. Chernishev and Antonio Corral and Samir Ouchani and Jüri Vain},
  volume = {1481},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-87657-9},
}