Fig. 5
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
a The 133th MII episode, Xl6, along with its baseline impedance, b the 6th channel Impedance data. c The ground truth annotation for the 6th channel, gtl. d The output of the model, yl, e the output of the cross sections with BI block, zl, f the output of the dot product of d and e, g output of the morphological Edit block. h the same episode from a with ground truth annotation highlighted in blue, and detected GER event, Rn12, marked with green crosses indicating the onset points and red crosses indicating the offset points. The horizontal axis in all panels indicates time.
