Abstract
In the current era of digitization, the worldwide healthcare service is a common practice; it enables the remote healthcare service with proper digits: diagnosis and medication. The main thread for the about service is the security confidentiality and integrity of personal information of a patient. Many techniques are followed for privacy preservation in image information with descriptive aspects; however, more such strategies need to analyze and devolve for better accuracy and performance. This paper has given a broad overview of deferment techniques, their performance, and some future directions for ROI preservation in medical images.
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Paikaray, B.K., Dewangan, P., Swain, D., Chakravarty, S. (2020). An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations, and Future Directions. In: Swain, D., Pattnaik, P., Gupta, P. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1884-3_42
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DOI: https://doi.org/10.1007/978-981-15-1884-3_42
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