An evolutionary computing enriched RS attack resilient medical image steganography model for telemedicine applications

@article{Mansour2019AnEC,
  title={An evolutionary computing enriched RS attack resilient medical image steganography model for telemedicine applications},
  author={Romany Fouad Mansour and Elsaid Md. Abdelrahim},
  journal={Multidimensional Systems and Signal Processing},
  year={2019},
  volume={30},
  pages={791-814}
}
The recent advancement in computing technologies and resulting vision based applications has given rise to a novel practice called telemedicine that requires patient diagnosis images or allied information to recommend or even perform diagnosis practices being located remotely. However, to ensure accurate and optimal telemedicine there is the requirement of seamless or flawless biomedical information about patient. On the contrary, medical data transmitted over insecure channel often remains… 
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