Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …

Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar
that, if left untreated, can result in even blindness. A novel automated technique for DR …

Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …

This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …

The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …

Background: Using artificial intelligence (AI) with the concept of a deep learning-based
automated computer-aided diagnosis (CAD) system has shown improved performance for …

The world population is growing very fast and the lifestyle of human beings is changing with
time and place. So, there is a need for disease management which includes disease …

This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …

In computer vision applications like surveillance and remote sensing, to mention a few, deep
learning has had considerable success. Medical imaging still faces a number of difficulties …