Features of image analysis under UV-video dermoscopy

Olha Isaieva, Oleg Avrunin, Irina I. Moroz, O. Stoliarenko, R. Akselrod, Volodymyr S. Kylyvnyk, K. Gromaszek, A. Iskakova, S. Rakhmetullina, A. Kozbakova
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引用次数: 5

Abstract

The work is devoted to the modern method of diagnosing skin diseases - video dermoscopy in the ultraviolet spectrum. The main features of the method are considered. The features of image processing and analysis for HC-video dermatoscopy are proposed for consideration. The main stages of processing HC-video dermoscopic images are considered. The main emphasis is placed on the methods of automated segmentation of HC-videodermoscopic images and the analysis of the errors that arise in this case. The stages of preliminary and post-processing of UVvideodermoscopic images are examined in detail. The main aspects of the automated analysis of dermoscopic image processing and the prospects of using such systems in medical practice are considered.
紫外视频皮肤镜下图像分析的特点
这项工作致力于诊断皮肤病的现代方法-紫外光谱视频皮肤镜检查。分析了该方法的主要特点。提出了hc视频皮肤镜图像处理和分析的特点,以供参考。讨论了hc视频皮肤镜图像处理的主要阶段。重点介绍了hc视频皮肤镜图像的自动分割方法,并对这种情况下产生的误差进行了分析。详细讨论了紫外视频皮肤镜图像的预处理和后处理阶段。本文讨论了皮肤镜图像处理自动化分析的主要方面以及在医学实践中使用此类系统的前景。
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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