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. 2020 May 5;8(5):e16225. doi: 10.2196/16225

Figure 1.

Figure 1

Overview of the proposed deep convolutional neural network architecture. The photorefraction image inputs pass through 17 convolutional layers and one fully connected layer, and the outputs of the network assign the probabilities for each refractive error class given the image. We also generate the localization map highlighting the important regions from the final convolutional feature maps of the layer i (i=1, 2, 3, or 4).