Objective: Skin diseases constitute a widespread health concern, and the application of
machine learning and deep learning algorithms has been instrumental in improving …

An automated intelligent system based on imaging input for unbiased diagnosis of skin-
related diseases is an essential screening tool nowadays. This is because visual and …

Background The emergence of the deep convolutional neural network (CNN) greatly
improves the quality of computer-aided supporting systems. However, due to the challenges …

Common properties of dermatological diseases are mostly lesions with abnormal pattern
and skin color (usually redness). Therefore, dermatology is one of the most appropriate …

Skin lesions affect millions of people worldwide. They can be easily recognized based on
their typically abnormal texture and color but are difficult to diagnose due to similar …

Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …

Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …

Skin disorders are a serious worldwide public health issue that affects a large number of
individuals. In recent years, with the fast advancement of technology and the use of different …

Propensity of skin diseases to manifest in a variety of forms, lack and maldistribution of
qualified dermatologists, and exigency of timely and accurate diagnosis call for automated …

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 …