【摘要】 糖尿病视网膜病能造成患者视力损失或失明。我们提出了一个让患者了解自己的视网膜状况的智能糖尿病眼底诊断系统,包含云服务器和手机端应用。患者可自主拍摄眼底图像,并通过手机应用上传至服务器。服务器端将对图像进行分析处理,包括视盘和黄斑区的定位,血管分割,病变检测和病变分级。根据国际标准,对于非增生性糖尿病视网膜病变(NPDR)分为正常、轻度、中度和重度四个等级,采用图像分割的方法来提高效率。采用医院提供的眼底图像进行测试,总体达到85%的准确率。更多还原

【Abstract】 Diabetic Retinopathy(DR), the most common one of diabetic eye diseases, can cause loss of vision or blindness. We propose an automatic diabetic retinopathy diagnostic system to help patients know about their retinal conditions. The images are taken through the phone application and then transmitted to a cloud server to be analyzed, including localization of optic disk and macular, vessel segmentation, detection of lesions, and grading of DR. We use a multi-scale line operator to improve accuracy in segmenting small-scale vessels, a binary mask and image restoration to reduce the effect of the existence of vessels on optic disk localization. After the analysis, the fundus images are then graded as normal, mild Non-Proliferative Diabetic Retinopathy(NPDR), moderate NPDR or severe NPDR. The grading process uses region segmentation to improve the efficiency. The final grading results are tested based on the fundus images provided by the hospitals. We evaluate our system through comparing our grading results with those graded by experts, which comes out with an overall accuracy of up to 85%.更多还原