Computational Intelligence for Detection of Skin Cancer using Deep Learning Classifiers

Abstract

Artificial intelligence (AI) has been recognized as an important research field in computer science. Although AI has been around for a while and has been used in many disciplines of medicine, its usage in dermatology is very recent and constrained. Dermatology is a field of bioscience concerned with the diagnosis and treatment of skin diseases. The wide range of dermatologic diseases changes regionally and seasonally according to temperature, humidity, and other environmental factors. Dermatological illnesses have been shown to have major impacts on the behavior of millions of individuals since nearly all forms of skin problems affect everyone every year. Because human analysis of such diseases requires time and effort, and existing techniques are only utilized to analyze certain types of skin diseases, there is a need for higher-level computer-aided skills in the analysis and diagnosis of multi-type skin disorders.