Survey Paper on Skin Disease Prediction using Dynamic Testing in Deep Learning

Skin diseases are prevalent worldwide, affecting millions of people and often presenting diagnostic challenges due to their diverse manifestations. Deep learning techniques have shown promise in automating the diagnosis of skin diseases, leveraging large datasets and powerful computational methods. However, the performance of existing models may vary depending on factors such as dataset quality, model architecture, and feature extraction methods