Table 11 The worst to the best average OVC scores shown for the 5 patients (P) and their respective videos (labelled a and b) in the test set
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 |
|---|---|---|---|---|---|
2b | 0.624 +/- 0.10 | 2b | 0.713 +/- 0.02 | 1a | 0.822 +/- 0.09 |
4a | 0.950 +/- 0.09 | 4a | 0.743 +/- 0.02 | 4a | 0.824 +/- 0.04 |
1b | 0.989 +/- 0.03 | 1b | 0.798 +/- 0.06 | 1b | 0.862 +/- 0.09 |
5a | 0.997 +/- 0.01 | 1a | 0.933 +/- 0.04 | 5a | 0.911 +/- 0.02 |
3a | 0.998 +/- 0.01 | 5b | 0.975 +/- 0.01 | 5b | 0.924 +/- 0.04 |
1a | 0.998 +/- 0.01 | 2a | 0.982 +/- 0.01 | 2b | 0.932 +/- 0.02 |
4b | 0.998 +/- 0.01 | 3b | 0.988 +/- 0.01 | 2a | 0.952 +/- 0.03 |
2a | 0.999 +/- 0.01 | 5a | 0.988 +/- 0.01 | 4b | 0.955 +/- 0.01 |
3b | 0.999 +/- 0.01 | 4b | 0.990 +/- 0.01 | 3b | 0.962 +/- 0.02 |
5b | 0.999 +/- 0.01 | 3a | 0.991 +/- 0.01 | 3a | 0.989 +/- 0.01 |