论文标题
对糖尿病性视网膜病变筛查中计算机辅助诊断系统的全面调查
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening
论文作者
论文摘要
糖尿病（DM）可导致严重的微脉管破坏，最终导致糖尿病性视网膜病变（DR）或由于糖尿病引起的眼睛并发症。如果不受组织的检查，这种疾病会随着时间的流逝而增加，并最终导致视力丧失。检测到这种光学发展的一般方法是通过检查视网膜图像的血管，视神经头，微型毛发，出血，渗出液等。最终，这受到经验丰富的眼科医生和大量DM案例的数量的限制。为了启用早期有效的DR诊断，眼科领域需要健壮的计算机辅助诊断（CAD）系统。我们的评论旨在为从学生到成熟的研究人员提供任何人，他们想了解CAD系统及其算法可以完成的工作，再到建模以及在计算机视觉和模式识别中的视网膜图像处理领域的发展方向。对于刚开始的人来说，我们特别强调了不同数据库和算法框架的逻辑，优势和缺点，重点是最近的方法。
Diabetes Mellitus (DM) can lead to significant microvasculature disruptions that eventually causes diabetic retinopathy (DR), or complications in the eye due to diabetes. If left unchecked, this disease can increase over time and eventually cause complete vision loss. The general method to detect such optical developments is through examining the vessels, optic nerve head, microaneurysms, haemorrhage, exudates, etc. from retinal images. Ultimately this is limited by the number of experienced ophthalmologists and the vastly growing number of DM cases. To enable earlier and efficient DR diagnosis, the field of ophthalmology requires robust computer aided diagnosis (CAD) systems. Our review is intended for anyone, from student to established researcher, who wants to understand what can be accomplished with CAD systems and their algorithms to modeling and where the field of retinal image processing in computer vision and pattern recognition is headed. For someone just getting started, we place a special emphasis on the logic, strengths and shortcomings of different databases and algorithms frameworks with a focus on very recent approaches.
