基于Android的太阳Lentigo恶性黑色素瘤图像的潜在检测

Kurnia Zikir Bimastro, T. Purboyo, C. Setianingsih, M. A. Murti
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引用次数: 0

摘要

太阳色斑病是一种因经常暴露在阳光直射下而引起的皮肤病。太阳色斑的外观在早期可能类似于色斑恶性黑色素瘤癌。太阳小痣是一种不危险的疾病,不需要特殊治疗,但如果有明显的变化,如伤口不对称、边界模糊、颜色不均匀、直径超过6毫米,则怀疑太阳小痣是恶性早期黑色素瘤。Lentigo恶性黑色素瘤是一种罕见但危险的皮肤癌,如果不立即治疗,它会出现不对称,边界不清,颜色不均匀,直径超过6毫米。这项研究的目的是通过使用太阳透镜的图像来帮助检测透镜恶性黑色素瘤疾病的可能性。本应用程序使用ABCD方法进行特征提取,对输入图像和决策树进行划痕分类。ABCD法是一种医学方法,用于检测癌症的不对称,模糊的边界,颜色,直径。这项研究的数据是从万隆的一家医院获得的,数据以表格形式呈现,并非正式地解释。应用的结果是对潜在疾病的诊断。从60个训练数据中,该应用程序的准确率值为97.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential Detection of Lentigo Maligna Melanoma on Solar Lentigines Image Based on Android
Solar Lentigines is a skin disease caused by frequent exposure to direct sunlight. Appearance in solar lentigines can resemble Lentigo Malignant Melanoma cancer at an early stage. solar lentigines a disease that is not dangerous and does not require special treatment, but if there are significant changes such as asymmetrical wounds, obscure borders, non-homogeneous colors, diameters exceeding 6 millimeters, solar lentigines are suspected as lentigo malignant early stage melanoma. lentigo malignant melanoma is a rare but dangerous type of skin cancer if it is not treated immediately with asymmetrical, unclear boundaries, non-homogeneous colors, diameters exceeding 6 millimeters. This research aims to help detect the potential of lentigo malignant melanoma disease by using the image of solar lentigines. This application uses the ABCD method for feature extraction to scratch the input image and decision tree for classification. ABCD method is a medical method used to detect cancer in terms of asymmetry, obscure borders, color, diameter. The data of this research were obtained from one hospital in Bandung and the data was presented in table form and explained informally. The result of the application is a diagnosis of the potential for disease. The accuracy value of this application is 97.5% from 60 training data.
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