Skin Cancer Diseases Detection using Deep Learning

Skin cancer is one of the most dangerous diseases of all cancers. The skin cancer should be detected at an early stage, otherwise it will spread all over the body. Skin lesion Recognition is introduced to detect the accurate automatic system to prevent the human Death rate. This method of skin cancer treatment makes use of deep learning and image processing. In this study, the different forms of skin cancer have been identified, that are classified into nine types. Deep Learning approach such as Convolutional Neural Network (CNN) algorithm for processing the given data. Here it is used because it gives high accuracy in image processing and also training time is reduced. The dataset contains all 9 types of skin cancer. In this model, it diagnoses a skin cancer and also classifies into different classes through convolutional neural network which gives an accuracy of 98% and above which is higher than other approaches