Fig. 6
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
The proposed two-stage scheme for the GER segmentation task which includes elementwise classification at the 6th channel and event segmentation across all of the channels. It makes an initial estimation of potential GER events then refines it to determine the authenticity of the GER event, as well as to characterize its onset and offset times across all channels.
