内镜影像可视化在临床决策支持系统中的应用

N. A. Obukhova, A. Motyko, A. Pozdeev
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引用次数: 0

摘要

虚拟色内窥镜技术可以通过使用数字处理方法来提高诊断效率。本文提出了以色调校正为第一步,以非线性方法校正亮度和对比度为第二步的各种虚拟色内窥镜实现算法。一个开放的Kvasir内镜图像库被用作评估所提出算法有效性的实验基础。所提出的算法提供的视觉效果相当于或在相当多的情况下超过了封闭虚拟内窥镜技术的视觉效果,如i-scan和FICE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Endoscopic Images Visualization in Clinical Decision Support Systems
Virtual chromoendoscopy technology allows to increase the diagnostic efficiency by using digital processing methods. The article proposes various algorithms for the virtual chromoendoscopy implementation based on a tone correction as the first step, and with non-linear methods for correcting brightness and contrast as the second step. An open base of Kvasir endoscopic images was used as an experimental base for evaluating the effectiveness of the proposed algorithms. The visual effect provided by the proposed algorithm corresponds to or, in a significant number of cases, exceeds the visual effect of closed virtual endoscopy technologies, such as i-scan and FICE.
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