A Survey on Skin Disease Detection Using Deep Learning Techniques

Abstract

One of the many significant prevalent illnesses is skin disease. Features extraction is essential for supporting the categorization of skin illnesses in skin disease detection. The skill of the physicians and the results of skin function tests are particularly dependent on the capacity to diagnose skin illness, which is a laborious process. To improve diagnosis accuracy and prevent inadequate human sources, an automated computer-aided design (CAD) for skin disease identification and categorization via photographs is required. A critical duty is identifying skin conditions from a picture. It mostly depends on the accurately measured and arranged characteristics of the illnesses. Creating usable photos is made more difficult by the same visual characteristics shared by several skin conditions. The diagnosis would be improved by formal investigation into these disorders from the picture.