Fig. 7
From: DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs
Structure of DENSEN. a shows that the network adopts a 2-stream model similar to its initial network architecture. There are two heterogeneous streams. For both streams, the basic building block is composed of convolution layers, batch normalization, non-linear activation, and pooling layers. b presents different activation functions (ReLU versus Tanh) and pooling (average versus maximum) adopted for each stream