An improved procedure for the automatic detection of dermoscopic structures in digital ELM images of skin lesions

G. D. Leo, C. Liguori, A. Paolillo, P. Sommella
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引用次数: 52

Abstract

Early detection of melanoma is a very critical issue in todaypsilas dermatologic practice. Different diagnostic methods have been proposed which define multiple criteria for the evaluation of the malignancy of a lesion. The paper is devoted to the detection of an important dermatologic structure: the atypical pigmented network. A proposal is described for the application of decision-tree classification techniques to the results of specific image processing algorithms for the estimation of chromatic and structural parameters.
一种改进的程序,用于自动检测皮肤损伤的数字ELM图像中的皮肤镜结构
早期发现黑色素瘤是一个非常关键的问题,在今天的皮肤医学实践。已经提出了不同的诊断方法,这些方法定义了评估病变恶性程度的多个标准。本文致力于检测一个重要的皮肤结构:非典型色素网络。提出了一种将决策树分类技术应用于特定图像处理算法的结果,用于估计颜色和结构参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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