Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

The track of medical imaging has witnessed several advancements in the last years. Several
medical imaging modalities have appeared in the last decades including X-ray, Computed …

Deep learning models have achieved high performance across different domains, such as
medical decision-making, autonomous vehicles, decision support systems, among many …

Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …

Abstract The Internet of Things (IoT) is the most promising technology in health technology
systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings …

Healthcare systems have significantly benefited from Artificial Intelligence (AI) and the
Internet of Things (IoT). The vital signs of patients can be continuously monitored using the …

In this work, the effectiveness of the deep learning model is applied for one-dimensional
data when converted to images. This work is based on the effective conversion of one …

Abstract The Internet of Medical Things (IoMT) has emerged as a significant research area in
the medical field, enabling the transmission of various types of data to the cloud for analysis …

This paper presents a multimodal image fusion method using a novel decomposition model
based on coupled dictionary learning. The proposed method is general and can be used for …