Fig. 4.
Schematic of four end-to-end deep learning models: convolutional pre-trained bases followed by fine-tuned transfer layers trained on OCT images (RNFL maps shown as input at top). Transfer layer parameters were optimized for each convolutional base (see GitHub [30] for code and IEEE Dataport [31] for saved models).