An Improved Method for Skin Cancer Prediction Using Machine Learning Techniques

Abstract

Among skin diseases the type that causes cancer are the fatal ones and pose the biggest issues. These issues arise since cancers are just much larger quantities of the same cells that are present around the body, which makes diagnosis very difficult until later stages. Now the onset of artificial intelligence and machine learning techniques, in the field of images, has allowed computers to identify sequences and patterns in images that can never be observed by the naked eye. Hence in order to battle skin cancer in its early stages a system has been proposed to identify and predict skin cancer in its earlier stages. A skin cancer prediction system has hence been created and implemented to predict three major types of skin cancer that affect humans. A dataset of the said skin cancer types and other types of skin diseases have been taken and analyzed. Apart from the model, a web application has been constructed for deployment on the web to enable the access of this model to the general masses. The current work is limited to selective dataset and model, which can be further extended.