Abstract:
"The increasing frequency of skin disorders, as well as their far-reaching effects on people's
quality of life, need the development of an efficient, accurate, and easily accessible tool for
early detection and diagnosis. Traditionally, skin disease diagnosis has relied significantly on
dermatologist knowledge, which may be costly and time-consuming. Furthermore, the paucity
of dermatologists in distant places and underdeveloped nations makes prompt and correct
diagnosis difficult for many people. The complicated structure of skin illnesses, with similar
visual characteristics shared by diverse diseases, makes diagnosis difficult, even for skilled
dermatologists. The goal was to create a system capable of automatically and accurately
identifying a variety of common skin illnesses using artificial intelligence."
