DermaDetect: Advanced Melanoma Skin Cancer Classification Using Convolutional Neural Networks

Skin cancer has become a major concern in the recent times and a significant health risk. It can be effectively treated if early diagnosis is done. This paper focuses of the detection of skin cancer by the use a sub domain of Machine Learning - Deep Learning. In this paper we have implemented and evaluated a Deep learning algorithm - Convolutional Neural Networks (CNN). The implemented model in this study has given an accuracy of 96%. This Research focuses on the utilization of these advanced technologies in the combat of melanoma and also discusses the impact they can have in enhancing the overall patient outcome.