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VGG-19 network. The proposed architecture used true-colour confocal scanning (a) and ultra-wide-field fundus (b) images as the input images. The VGG-19 network consisted of 16 convolutional layers and 5 pooling layers, and only a 3(×)3 kernel was used. Subsequently, a fully connected layer and softmax were applied to obtain the final output.
