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机译:使用视网膜眼底图像自动识别白内障严重程度
School of Software Engineering Beijing University of Technology Beijing China;
Faculty of Information Technology Beijing University of Technology Beijing China;
Computer Science Division University of Aizu Fukushima Japan;
School of Software Engineering Beijing University of Technology Beijing China Department of Computer Science Sukkur IBA University Sukkur Pakistan;
Research Institute of Information Technology Tsinghua University Beijing China;
General Internal Medicine Beijing Moslem Hospital Beijing China;
Convolutional neural network; SVM; cataract detection; retinal images; image classification;
机译:在视网膜眼底图像中使用视网膜脉管系统的个人识别系统
机译:从视网膜眼底图像中基于糖尿病黄斑水肿的严重渗出性严重性评估
机译:糖尿病性视网膜病严重程度分级的眼底图像分析。
机译:基于自动阈值的基于自动识别糖尿病患者水肿的严重程度视网膜图像
机译:关于人类眼底数字图像对视网膜疾病检测的理解
机译:眼底图像中视网膜血管提取的自动跟踪方法
机译:促进微安瘤和视网膜眼镜图像中的微量瘤和出血的自动化方法