DETECTION OF SKIN CANCER DISEASE USING DEEP LEARNING ALGORITHM

Abstract

Early detection of melanoma skin cancer is important for a person effective treatment. Recently, it is well-known that the most dangerous type of skin cancer is other types of skin cancer.Melanoma because it may spread to other are asif you are not diagnosed and treated early. Non-invasive computer vision or medical imaging play an important role in the clinical identification of various diseases. Such techniques that provide an automatic image analysis tool for accurate measurement and quick wound testing. Steps involved in this. The study collects dermos copy image data, preliminary processing, division using threshold, mathematical element domain using Gray Level Cooccurrence Matrix (GLCM), Asymmetry, Border, Color, Scope, (ABCD) etc., feature selection using Principal section (PCA) ), to calculate the value Dermos copy Score then differentiate using Convocation neural network (CNN).the results show that the accuracy of the categories obtained is 92.1