Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications

Walid El Shafai, Fatma Khallaf, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie. Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications. Neural Computing and Applications, 34(13):10629-10653, 2022. [doi]

@article{ShafaiKEE22,
  title = {Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications},
  author = {Walid El Shafai and Fatma Khallaf and El-Sayed M. El-Rabaie and Fathi E. Abd El-Samie},
  year = {2022},
  doi = {10.1007/s00521-022-06994-z},
  url = {https://doi.org/10.1007/s00521-022-06994-z},
  researchr = {https://researchr.org/publication/ShafaiKEE22},
  cites = {0},
  citedby = {0},
  journal = {Neural Computing and Applications},
  volume = {34},
  number = {13},
  pages = {10629-10653},
}