Fig. 4From: Classification of optical coherence tomography images using a capsule networkProposed network architecture. The proposed model has six convolution layers (five convolution layers + primary caps) and OCT Caps. The activity vector length of each capsule in the OCT Caps layer shows the presence of an instance of each class. It is used to calculate the classification lossBack to article page