Health and Rehabilitation Sciences Research Institute, University of Ulster, Newtownabbey BT37 0QB, United Kingdom.
Comput Med Imaging Graph. 2009 Dec;33(8):608-22. doi: 10.1016/j.compmedimag.2009.06.003. Epub 2009 Jul 18.
This work examined recent literature on digital image processing in the field of diabetic retinopathy. Algorithms were categorized into 5 steps (preprocessing; localization and segmentation of the optic disk; segmentation of the retinal vasculature; localization of the macula and fovea; localization and segmentation of retinopathy). The variety of outcome measures, use of a gold standard or ground truth, data sample sizes and the use of image databases is discussed. It is intended that our classification of algorithms into a small number of categories, definition of terms and discussion of evolving techniques will provide guidance to algorithm designers for diabetic retinopathy.
本研究考察了糖尿病视网膜病变领域中数字图像处理的最新文献。将算法分为 5 个步骤(预处理;视盘的定位和分割;视网膜血管的分割;黄斑和中央凹的定位;视网膜病变的定位和分割)。讨论了各种结果测量方法、使用金标准或地面实况、数据样本量以及图像数据库的使用。我们将算法分类为少数几个类别、定义术语和讨论不断发展的技术,旨在为糖尿病视网膜病变的算法设计提供指导。