Detection melanoma cancer using ABCD rule based on mobile device

Abstract

Melanoma is skin cancer that attacks a pigment human cell who raise melanin cell and causing death if unknown early. According to from Abramson Cancer Center, There are 76.690 new cases melanoma in the United States on 2013. Dermoscopy is one of a current use, but need a special expertise to detect a cancer melanoma. This research proposes a new approach to detecting melanoma using ABCD rule which is Including in the methods of dermoscopy and using STOLZ Algorithm to given weight in detection. The detection is conducted on the image which was taken with mobile device camera and testing process is performed on mobile. The technique used to preprocessing is using OpenCV to take extraction for sampling suspect skin melanoma. The result from this application showing output in form TDS score and classification result which is appropriate from input picture. The result of this application shown value TDS and classification hypothesis suspected melanoma or normal mole from cameras smartphone used.