Fig. 3
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
The architecture of the network. The first layer, C1, is special as it uses a 2D CNN to capture features across all channels of MII data, the rest of the encoders and decoders use 1D CNNs to preserve the 1D nature of the signal.
