The measurement of 3D spatial coordinates for model reconstruction through artificial
machine vision systems based on optical sensors and the corresponding signal processing …

The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …

More than half of brain tumors are malignant tumors, so there is a need for fast and accurate
segmentation of tumor regions in brain Magnetic Resonance Imaging (MRI) images …

COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …

The object detection task in the medical field is challenging in terms of classification and
regression. Due to its crucial applications in computer‐aided diagnosis and computer‐aided …

The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …

Purpose For radiologists, identifying and assessing thelung nodules of cancerous form from
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …

Transformer models have recently become the dominant architecture in many computer
vision tasks, including image classification, object detection, and image segmentation. The …

The Internet of Medical Things (IoMT) is a unification of smart healthcare devices, tools, and
software, which connect various patients and other users to the healthcare information …

Cloud-based storage ensures the secure dissemination of media. Authentication and
integrity are important aspects in the distribution of digital media. Encryption-based …