Giancardo L, Abramoff M D, Chaum E, Karnowski T P, Meriaudeau F, Tobin K W
European VIBOT program, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3534-7. doi: 10.1109/IEMBS.2008.4649968.
A great effort of the research community is geared towards the creation of an automatic screening system able to promptly detect diabetic retinopathy with the use of fundus cameras. In addition, there are some documented approaches for automatically judging the image quality. We propose a new set of features independent of field of view or resolution to describe the morphology of the patient's vessels. Our initial results suggest that these features can be used to estimate the image quality in a time one order of magnitude shorter than previous techniques.
研究界付出了巨大努力，致力于创建一个能够利用眼底相机迅速检测糖尿病视网膜病变的自动筛查系统。此外，还有一些已记录在案的自动判断图像质量的方法。我们提出了一组新的与视野或分辨率无关的特征，用于描述患者血管的形态。我们的初步结果表明，这些特征可用于在比以前的技术短一个数量级的时间内估计图像质量。
