Diabetic macular edema (DME) is the main cause of visual impairment in diabetic patients. Early detection of DME will significantly reduce the risk of vision loss for the patients. According to the clinical DME grading standard, the positional relationship between Hard Exudates (HEs) and macular center is an important basis for DME grading. Accurate DME grading is thus predicated on properly locating the macular center and segmenting HEs. HEI-MED and E-ophtha EX data sets were tested by the proposed DME grading method, reaching an average accuracy of 94.4% and 87%, respectively. The proposed method was also tested by comparison against other commonly used methods as per its potential to assist doctors in initially screening DME; it was found to not only improve the efficiency of DME detection, but also to save Optical Coherence Tomography medical resources over the other methods tested.

中文翻译：

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基于改进的 Faster R-CNN 和 MD-ResNet 的糖尿病黄斑水肿分级

糖尿病性黄斑水肿（DME）是糖尿病患者视力受损的主要原因。DME 的早期检测将显着降低患者视力丧失的风险。根据临床DME分级标准，硬性渗出物（HE）与黄斑中心的位置关系是DME分级的重要依据。因此，准确的 DME 分级取决于正确定位黄斑中心和分割 HE。HEI-MED 和 E-ophtha EX 数据集通过所提出的 DME 分级方法进行测试，平均准确度分别达到 94.4% 和 87%。所提出的方法还通过与其他常用方法的比较进行了测试，因为它具有帮助医生初步筛查 DME 的潜力；发现不仅可以提高 DME 检测的效率，