• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Development of an automated system to classify retinal vessels into arteries and veins
【24h】

Development of an automated system to classify retinal vessels into arteries and veins

机译：开发自动系统将视网膜血管分为动脉和静脉

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

There are some evidence of the association between the calibre of the retinal blood vessels and hypertension. Computer-assisted procedures have been proposed to measure the calibre of retinal blood vessels from high-resolution photopraphs. Most of them are in fact semi-automatic. Our objective in this paper is twofold, to develop a totally automated system to classify retinal vessels into arteries and veins and to compare the measurements of the arteriolar-to-venular diameter ratio (AVR) computed from the system with those computed from observers.Our classification method consists of four steps. First, we obtain the vascular tree structure using a segmentation algorithm. Then, we extract the profiles. After that, we select the best feature vectors to distinguish between veins and arteries. Finally, we use a clustering algorithm to classify each detected vessel as an artery or a vein.Our results show that compared with an observer-based method, our method achieves high sensitivity and specificity in the automated detection of retinal arteries and veins. In addition the system is robust enough independently of the radii finally chosen, which makes it more trustworthy in its clinical application. We conclude that the system represents an automatic method of detecting arteries and veins to measure the calibre of retinal microcirculation across digital pictures of the eye fundus.
机译：有一些证据表明视网膜血管的口径与高血压有关。已经提出了计算机辅助程序来从高分辨率照片中测量视网膜血管的口径。实际上，大多数都是半自动的。本文的目标是双重的，以开发一个将视网膜血管分类为动脉和静脉的全自动系统，并将系统计算出的小动脉与静脉直径比（AVR）的测量值与观察者计算出的值进行比较。分类方法包括四个步骤。首先，我们使用分割算法获得血管树结构。然后，我们提取配置文件。之后，我们选择最佳特征向量来区分静脉和动脉。最后，我们使用聚类算法将每个检测到的血管分类为动脉还是静脉。我们的结果表明，与基于观察者的方法相比，我们的方法在自动检测视网膜动脉和静脉方面具有很高的灵敏度和特异性。另外，该系统足够强大，与最终选择的半径无关，这使其在临床应用中更加值得信赖。我们得出的结论是，该系统代表了一种检测动脉和静脉的自动方法，以测量跨眼底数字图片的视网膜微循环的口径。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号