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

2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems Pub Date : 2008-07-14 DOI:10.1109/VECIMS.2008.4592778

G. D. Leo, C. Liguori, A. Paolillo, P. Sommella

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引用次数: 52

摘要

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

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.

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来源期刊

2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems

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