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Detection melanoma cancer using ABCD rule based on mobile device

机译：基于移动设备的ABCD规则检测黑色素瘤癌

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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.
机译：黑色素瘤是皮肤癌，攻击培养黑色素细胞的颜料人类细胞，如果早期未知，则会导致死亡。根据亚伯森癌症中心，美国在2013年有76.690例新患者黑素瘤。Dermoscopy是目前的使用之一，但需要特殊的专业知识来检测癌症黑色素瘤。该研究提出了一种使用ABCD规则检测黑素瘤的新方法，该方法包括在Dermoscopy方法中，并使用STOLZ算法在检测中给予重量。检测在用移动设备相机拍摄的图像上进行，并且在移动设备上执行测试过程。用于预处理的技术正在使用OpenCV来提取用于抽样怀疑皮肤黑色素瘤。该应用程序的结果显示了表单TDS分数和分类结果的输出，这是适合于输入图片的。该应用的结果显示了值TDS和分类假设疑似Melanoma或来自使用的摄像机智能手机的正常摩尔。

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