Recently, there has been a rapid growth in the utilization of medical images in telemedicine
applications. The authors in this paper presented a detailed discussion of different types of …

Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

Deep learning models are widely used in the automatic analysis of radiological images.
These techniques can train the weights of networks on large datasets as well as fine tuning …

Data security has become a paramount necessity and more obligation in daily life. Most of
our systems can be hacked, and it causes very high risks to our confidential files inside the …

Chaos-based cryptosystems have been an active area of research in recent years. Although
these algorithms are not standardized like AES, DES, RSA, etc., chaos-based cryptosystems …

This paper designs a new medical image encryption scheme based on a new hyperchaotic
map, which exhibits excellent security and high efficiency that can be applied to medical …

Medical images possess significant importance in diagnostics when it comes to healthcare
systems. These images contain confidential and sensitive information such as patients' X …

The majority of imaging techniques use symmetric and asymmetric cryptography algorithms
to encrypt digital media. Most of the research works contributed in the literature focus …

Image encryption is essential for the transmission of the sensitive images through insecure
channels used in wired or wireless communication nowadays. With the advent of cloud …

Chaos-based encryption schemes have attracted many researchers around the world in the
digital image security domain. Digital images can be secured using existing chaotic maps …