A Mobile Clinical DSS based on Augmented Reality and Deep Learning for the home cares of patients afflicted by bedsores

Francesco Orciuoli, Francesco J. Orciuoli, Angela Peduto. A Mobile Clinical DSS based on Augmented Reality and Deep Learning for the home cares of patients afflicted by bedsores. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, Leuven, Belgium, August 9-12, 2020. Volume 175 of Procedia Computer Science, pages 181-188, Elsevier, 2020. [doi]

@inproceedings{OrciuoliOP20,
  title = {A Mobile Clinical DSS based on Augmented Reality and Deep Learning for the home cares of patients afflicted by bedsores},
  author = {Francesco Orciuoli and Francesco J. Orciuoli and Angela Peduto},
  year = {2020},
  doi = {10.1016/j.procs.2020.07.028},
  url = {https://doi.org/10.1016/j.procs.2020.07.028},
  researchr = {https://researchr.org/publication/OrciuoliOP20},
  cites = {0},
  citedby = {0},
  pages = {181-188},
  booktitle = {The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, Leuven, Belgium, August 9-12, 2020},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {175},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}