Gaussian processes; biomedical optical imaging; blood vessels; entropy; eye; feature extraction; image classification; image segmentation; image texture; learning (artificial intelligence); matched filters; medical image processing; neural nets; support vector machines; ANN; DIARETB1 databases; DRIVE databases; Gaussian filtering; NPDR; SVM; artificial neural network; blindness; blood vessel segmentation; color fundus images; fractal dimension; fractal lacunarity; healthy-normal diabetic retinopathy; image processing; local entropy; machine learning identification; mask generation; matched filter method; nonproliferative diabetic retinopathy; retinal image classification; second order textural feature; structural features; support vector machines; Artificial neural networks; Biomedical imaging; Blood vessels; Diabetes; Fractals; Retina; Retinopathy; Diabetic retinopathy; Gaussian filtering; artificial neural network; contrast; fractal dimension; fundus images; lacunarity; machine learning; support vector machines; texture;
机译:使用主动深度学习的眼底图像中糖尿病视网膜病变检测和阶段分类
机译:使用协同深层学习模型自动检测和分类眼底糖尿病视网膜病
机译:垂直条毕业生:眼底图像中的不确定感知深度学习的糖尿病视网膜病变分级
机译:一种改进糖尿病视网膜病变的机床学习方法
机译:眼底图像分析,用于检测糖尿病性视网膜病。
机译:基于机器学习的自动分割与糖尿病视网膜病分类的混合特征分析
机译:递归支持向量机(RSVM)算法检测和分类眼压视网膜图像中的糖尿病视网膜病变