机译:基于改进的R-FCN对象检测算法的糖尿病视网膜病变自动分级和病变检测
East China Univ Sci & Technol Coll Informat Sci & Technol Shanghai Peoples R China;
Shanghai Radio Equipment Res Inst Shanghai Peoples R China;
Fudan Univ Coll Comp Sci & Technol Shanghai Peoples R China;
Shanghai Eye Hosp Shanghai Eye Dis Prevent & Treatment Ctr Shanghai Peoples R China;
feature extraction; biomedical optical imaging; image segmentation; medical image processing; object detection; eye; diseases; image classification; blood vessels; feature pyramid network; modified region proposal network; DR-grading model; Messidor data; Shanghai Eye Hospital; hospital data; modified R-FCN lesion-detection model; lesion detection; modified R-FCN object-detection algorithm; computer-aided retinal image screening system; retinal fundus images; modified object-detection method; region-based fully convolutional network;
机译:自动算法与人工分级的成本和后果,以检测可参考的糖尿病性视网膜病。
机译:自动检测数字视网膜图像中的视网膜病变,为糖尿病性视网膜病变评分
机译:基于遗传算法的特征选择与双重分类相结合的糖尿病增生性视网膜病变自动检测
机译:通过两阶段深度卷积神经网络对糖尿病性视网膜病变进行病变检测和分级
机译:自动糖尿病视网膜病变检测系统
机译:用于糖尿病视网膜病变的自动检测和分级的混合机器学习架构
机译:基于深度学习算法的非增殖性糖尿病视网膜病变的微生物瘤和早期诊断系统的糖尿病视网膜病变检测
机译:基于形态滤波处理的改进分水岭变换自动能量检测算法。