Table 7 Comparative analysis of GER event localization between proposed and other Methods.
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
Method | # GERs | TP | FP | FN | F1-score (%) | |
|---|---|---|---|---|---|---|
Train | Test | |||||
Sparse representation | 141 | 33 | 32 | 2 | 1 | 95.52 |
1D Conv semi-U-Net | 187 | 21 | 20 | 1 | 1 | 95.24 |
2D-1D Conv semi-U-net | 187 | 21 | 20 | 0 | 1 | 97.56 |
