Department of Biochemistry, Section of Pathology, Second University of Naples, Via L. Armanni 5, 80138 Naples, Italy.
Cancers (Basel). 2010 Mar 26;2(2):262-73. doi: 10.3390/cancers2020262.
Dermoscopy (dermatoscopy, epiluminescence microscopy) is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions (PSLs), allowing a better visualization of surface and subsurface structures (from the epidermis to the papillary dermis). This diagnostic tool permits the recognition of morphologic structures not visible by the naked eye, thus opening a new dimension in the analysis of the clinical morphologic features of PSLs. In order to reduce the learning-curve of non-expert clinicians and to mitigate problems inherent in the reliability and reproducibility of the diagnostic criteria used in pattern analysis, several indicative methods based on diagnostic algorithms have been introduced in the last few years. Recently, numerous systems designed to provide computer-aided analysis of digital images obtained by dermoscopy have been reported in the literature. The goal of this article is to review these systems, focusing on the most recent approaches based on content-based image retrieval systems (CBIR).
皮肤镜检查(dermatoscopy,共聚焦激光扫描显微镜)是一种用于非侵入性诊断的活体观察色素性皮肤病变(PSLs)的技术,它可以更好地观察表面和皮下结构(从表皮到乳头真皮)。这种诊断工具可以识别肉眼无法看到的形态结构,从而为分析 PSLs 的临床形态特征开辟了一个新的维度。为了降低非专家临床医生的学习曲线,并减轻在使用模式分析的诊断标准的可靠性和可重复性方面存在的问题,近年来已经引入了几种基于诊断算法的指示性方法。最近,文献中报道了许多旨在提供对皮肤镜检查获得的数字图像进行计算机辅助分析的系统。本文的目的是综述这些系统,重点介绍基于基于内容的图像检索系统(CBIR)的最新方法。