A Melanoma Skin Cancer Detection Using Machine Learning Technique: Support Vector Machine

Abstract In this paper proposed is an easy way to detect the disease and help us to know before something turns out to be serious. The aim of this work is to detect skin cancer. People can get to know what skin disease they are having and what all precaution and measures to be taken at an early stage and it will help in treating the disease successfully. The major causes of skin cancer are air pollution, UV radiation, unhealthy life style etc. The concept of machine learning will be used to determine the disease and help us to detect the result. The most commonly used classification algorithms is support vector machine (SVM). First we are analyzing the skin image then converting the images into BGR-Gray and BGR-HSV for the computer to understand and enable it to read binary codes. The result of this study will help doctors to treat disease at the initial stage and further aggravation can be avoided.