Diabetic retinopathy is an ocular condition that affects individuals with diabetes mellitus. It is a common complication of diabetes that can impact the eyes and lead to vision loss. One method for diagnosing diabetic retinopathy is the examination of the fundus of the eye. An ophthalmologist examines the back part of the eye, including the retina, optic nerve, and the blood vessels that supply the retina. In the case of diabetic retinopathy, the blood vessels in the retina deteriorate and can lead to bleeding, swelling, and other changes that affect vision. We proposed a method for detecting diabetic diabetic severity levels. First, a set of data-prerpocessing is applied to available data: adaptive equalisation, color normalisation, Gaussian filter, removal of the optic disc and blood vessels. Second, we perform image segmentation for relevant markers and extract features from the fundus images. Third, we apply an ensemble of classifiers and we assess the trust in the system.

翻译：糖尿病视网膜病变是一种影响糖尿病患者的眼部疾病。它是糖尿病的常见并发症，可累及眼睛并导致视力丧失。诊断糖尿病视网膜病变的方法之一是检查眼底。眼科医生检查眼球后部，包括视网膜、视神经和供应视网膜的血管。在糖尿病视网膜病变中，视网膜血管发生病变，可能导致出血、水肿及其他影响视力的改变。我们提出了一种检测糖尿病视网膜病变严重程度的方法。首先，对可用数据进行一组预处理：自适应均衡化、颜色归一化、高斯滤波、视盘和血管去除。其次，我们针对相关标记进行图像分割，并从眼底图像中提取特征。第三，我们应用集成分类器并评估系统的可信度。