Table 9 Average DSC scores for the 5 patients (P) in the test set (ranked from worst to best) are shown for the interobserver study (expert 1 / expert 2) and the algorithms performance computation (algorithm / expert 1 and algorithm / expert 2) against each expert
From: Automatic deep learning-based pleural effusion segmentation in lung ultrasound images
P | Expert 1 / Expert 2 | P | Algorithm / Expert 1 | P | Algorithm / Expert 2 |
|---|---|---|---|---|---|
4 | 0.491 +/- 0.20 | 4 | 0.586 +/- 0.04 | 1 | 0.573 +/- 0.04 |
1 | 0.506 +/- 0.09 | 1 | 0.627 +/- 0.06 | 4 | 0.581 +/- 0.03 |
5 | 0.629 +/- 0.09 | 2 | 0.714 +/- 0.12 | 2 | 0.765 +/- 0.09 |
2 | 0.656 +/- 0.12 | 5 | 0.714 +/- 0.05 | 5 | 0.783 +/- 0.03 |
3 | 0.758 +/- 0.03 | 3 | 0.870 +/- 0.03 | 3 | 0.834 +/- 0.02 |