In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …

Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

Fully homomorphic encryption (FHE) is a powerful cryptographic primitive to secure
outsourced computations against an untrusted third-party provider. With the growing …

In this paper, we propose a lightweight privacy-preserving Faster R-CNN framework
(SecRCNN) for object detection in medical images. Faster R-CNN is one of the most …

Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …

Medical imaging and deep learning have tremendously shown improvement in research
field of brain tumor segmentation. Data visualization and exploration plays important role in …

The increasing availability of medical images generated via different imaging techniques
necessitates the need for their remote analysis and diagnosis, especially when such …

In today's technology world, data security has a great importance. Because each data type
has its own characteristics, there are various methods of providing this security. The main …

Applications for object detection are expanding as it is automated through artificial
intelligence-based processing, such as deep learning, on a large volume of images and …

This work provides a comprehensive review of existing frameworks based on secure
computing techniques in the context of private image classification. The in-depth analysis of …