Deep learning is a quite useful and proliferating technique of machine learning. Various
applications, such as medical images analysis, medical images processing, text …

Deep learning models have shown great promise in diagnosing skeletal fractures from X-ray
images. However, challenges remain that hinder progress in this field. Firstly, a lack of clear …

Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …

Clinical image processing plays a significant role in healthcare systems and is currently a
widely used methodology. In carcinogenic diseases, time is crucial; thus, an image's …

In the field of medicine, artificial intelligence has become a useful tool, particularly in the
diagnosis and treatment of disorders with malignant tumours. Deep learning and machine …

COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …

Background Knee osteoarthritis (KOA) is a common disease in the elderly. An effective
method for accurate diagnosis could affect the management and prognosis of patients …

Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …

In the rapidly evolving field of medical diagnosis, the accurate and prompt interpretation of
heartbeat electrocardiogram (ECG) signals have become increasingly crucial. Despite the …

Tumor classification and segmentation problems have attracted interest in recent years. In
contrast to the abundance of studies examining brain, lung, and liver cancers, there has …