Department of Electrical and Electronic Engineering, Near East University, Nicosia, Cyprus;
Department of Electrical and Electronic Engineering, Near East University, Nicosia, Cyprus;
Deep learning; Convolutional neural networks; Diseases; Sensitivity; Testing; Training;
机译:使用字典学习的光相干断层扫描图像的干龄相关黄斑和糖尿病黄斑水肿的分类
机译:OCT和眼底图像组合的可能性提高年龄相关黄斑变性深度学习的诊断准确性:初步实验
机译:深入学习在使用OCT图像分类正常与年龄相关的黄斑变性方面有效
机译:使用OCT图像和深度学习的干燥和湿的年龄相关的黄斑分类
机译:潮湿年龄相关性黄斑变性患者的ranibizumab治疗的表征反应模式:潜在的增长分析
机译:深度学习对正常与年龄相关性黄斑变性的OCT图像分类有效
机译:深度学习对于OCT图像的分类是有效的 正常与年龄相关的黄斑变性