Design and development of deep learning model for skin disease diagnosis

Abstract

The human body s major organ is the skin, and it protects human beings from the outside environment. Detecting skin disease at an earlier stage is a big challenge because of the similar appearance of skin disease. Therefore, there is a need for an automated system that can detect skin lesions timely and precisely. Recently Deep Learning (DL) has attained outstanding achievement in the diagnosis of various diseases. Therefore, in this thesis work, three deep learning based models are proposed for classification of skin lesion. The models are simulated and analysed using HAM10000 dataset having 10015 dermoscopy images of seven different skin disease classes. newline