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

Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Background: Skin diseases are reported to contribute 1.79% of the global burden of disease.
The accurate diagnosis of specific skin diseases is known to be a challenging task due, in …

Skin diseases are the 4th leading cause of skin burden worldwide. Computer-aided
diagnosis (CAD) systems have been developed to lessen this burden and to help the …

There has been an alarming increase in the number of skin cancer cases worldwide in
recent years, which has raised interest in computational systems for automatic diagnosis to …

Recently, there has been great interest in developing Artificial Intelligence (AI) enabled
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …

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

Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …

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