Table 4 Confusion matrix for elementwise classification.
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
Output of network | 0 | 1 |
|---|---|---|
Ground truth annotations | ||
0 | TN | FP |
1 | FN | TP |
From: Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs
Output of network | 0 | 1 |
|---|---|---|
Ground truth annotations | ||
0 | TN | FP |
1 | FN | TP |
