Amin Javeria, Sharif Muhammad, Yasmin Mussarat
COMSATS Institute of Information Technology, Department of Computer Science, Wah 47040, Pakistan.
Scientifica (Cairo). 2016;2016:6838976. doi: 10.1155/2016/6838976. Epub 2016 Sep 29.
Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases of diabetic retinopathy. Manual inspection of fundus images to check morphological changes in microaneurysms, exudates, blood vessels, hemorrhages, and macula is a very time-consuming and tedious work. It can be made easily with the help of computer-aided system and intervariability for the observer. In this paper, several techniques for detecting microaneurysms, hemorrhages, and exudates are discussed for ultimate detection of nonproliferative diabetic retinopathy. Blood vessels detection techniques are also discussed for the diagnosis of proliferative diabetic retinopathy. Furthermore, the paper elaborates a discussion on the experiments accessed by authors for the detection of diabetic retinopathy. This work will be helpful for the researchers and technical persons who want to utilize the ongoing research in this area.
糖尿病性视网膜病变是由糖尿病可能导致形成的视网膜微血管病变引起的。未经控制的严重糖尿病性视网膜病变可能会导致失明。通过人工检查眼底图像来查看微动脉瘤、渗出物、血管、出血和黄斑的形态变化是一项非常耗时且繁琐的工作。借助计算机辅助系统可以轻松完成这项工作,并且对观察者来说具有可重复性。本文讨论了几种用于检测微动脉瘤、出血和渗出物的技术,以最终检测非增殖性糖尿病性视网膜病变。还讨论了用于诊断增殖性糖尿病性视网膜病变的血管检测技术。此外,本文详细阐述了作者为检测糖尿病性视网膜病变所进行的实验。这项工作将有助于想要利用该领域正在进行的研究的研究人员和技术人员。