The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and
mortality rate of this disease pose severe global health issues for women. Identifying the …

Abstract Background and objective Deep Learning models have emerged as a significant
tool in generating efficient solutions for complex problems including cancer detection, as …

With the most recent developments in wearable technology, the possibility of continually
monitoring stress using various physiological factors has attracted much attention. By …

The healthcare industry has recently shown much interest in the Internet of Things (IoT). The
Internet of Medical Things (IoMT) is a component of the IoTs in which medical appliances …

Featured Application Enhancing Clinical Diagnosis through the Integration of Deep
Learning Techniques in Medical Image Recognition. This comprehensive review highlights …

Human-human interaction recognition is crucial in computer vision fields like surveillance,
human-computer interaction, and social robotics. It enhances systems' ability to interpret and …

Breast cancer is accounted as the fifth leading cause of cancer deaths among females all
around the world. These rising curves of morbidities and mortalities due to breast cancer …

Background Breast cancer screening guidelines differ between organizations, and
significant variations in practice patterns exist. Previous evidence suggests that provider …