Fig. 7
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
Performance of the network versus epochs, for the train and test phases: a MSE loss and b accuracy.
Fig. 7 | Scientific Reports
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
Performance of the network versus epochs, for the train and test phases: a MSE loss and b accuracy.
