In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …

Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Context: A fog computing architecture that is geographically distributed and to which a
variety of heterogeneous devices are ubiquitously connected at the end of a network in …

Breast cancer is a considerable problem among the women and causes death around the
world. This disease can be detected by distinguishing malignant and benign tumors. Hence …

Brain tumor diagnosis is a challenging and difficult process in view of the assortment of
conceivable shapes, regions, and image intensities. The pathological detection and …

One of the most prevalent and leading causes of cancer in women is breast cancer. It has
now become a frequent health problem, and its prevalence has recently increased. The …

Abstract Knowledge mining is an emerging field where various patterns, rules, etc. can be
generated which helps us in the analysis of the result. Medical information systems in …

Making an accurate diagnosis of nasopharyngeal carcinoma (NPC) disease is a challenging
task that involves many parties such as radiology specialists often times need to delineate …

The severity of acute lymphoblastic leukemia depends on the percentages of blast cells
(abnormal white blood cells) in bone marrow or peripheral blood. The manual microscopic …

Concrete is the most utilized human-made material that has been used in the construction
industry. The global concrete demand is rapidly increasing, and accordingly, designing …