彩色眼底摄影视网膜血管增强和分割技术综述。

Sakambhari Mahapatra, Sanjay Agrawal, Pranaba K Mishro, Rutuparna Panda, Lingraj Dora, Ram Bilas Pachori
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引用次数: 0

摘要

在许多眼科和心血管疾病的生物医学图像诊断中,视网膜图像是一种值得信赖的模式。定期检查视网膜有助于在早期发现这些异常。然而,为了应对当今的大量人口,计算机视网膜图像分析比手动检查更受欢迎。视网膜血管的精确提取是临床应用的第一步,也是决定性的一步。每年,都会有更多的文章被添加到描述手头问题的新算法的文献中。综述文章的大部分内容仅限于少数方法、评估指数和数据库。在这种情况下,对不同的血管提取方法进行全面审查是不可避免的。它包括对这些方法进行第一手分类的发展。文中还对这些文章进行了文献计量学分析。总结了最常用的技术的优点和缺点。讨论了主要挑战以及可能的变化范围。为了进行公平的比较,考虑了许多评估指标。这项调查的发现可能为研究人员在这一领域的进一步工作提供一条新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Retinal Blood Vessel Enhancement and Segmentation Techniques for Color Fundus Photography.

The retinal image is a trusted modality in biomedical image-based diagnosis of many ophthalmologic and cardiovascular diseases. Periodic examination of the retina can help in spotting these abnormalities in the early stage. However, to deal with today's large population, computerized retinal image analysis is preferred over manual inspection. The precise extraction of the retinal vessel is the first and decisive step for clinical applications. Every year, many more articles are added to the literature that describe new algorithms for the problem at hand. The majority of the review article is restricted to a fairly small number of approaches, assessment indices, and databases. In this context, a comprehensive review of different vessel extraction methods is inevitable. It includes the development of a first-hand classification of these methods. A bibliometric analysis of these articles is also presented. The benefits and drawbacks of the most commonly used techniques are summarized. The primary challenges, as well as the scope of possible changes, are discussed. In order to make a fair comparison, numerous assessment indices are considered. The findings of this survey could provide a new path for researchers for further work in this domain.

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