Skin disease classification using deep learning

Abstract

This study presents an in-depth study of the development of Skin Disease Classification using Deep Learning. The dataset was carefully selected to ensure that it was representative of the skin Disease of various kinds: ‘Melanoma’, ‘BCC’, ‘Psoriasis’, and ‘Seborrheic’. EfficientNet B5 with kneeway 3 is being used to classify these diseases, a unique method for reliably and efficiently classifying skin diseases. The high accuracy shows that it has the potential to be used in real-world scenarios, showing its accuracy in identifying various skin diseases detection and accurately verifying those diseases.