Table 1. Summary of learning and intensity statistics from 12 identical network architectures trained against the same data sets.
Dice coefficient | Mean IoU | 〈I 2〉/〈I〉2 | 〈F〉2/〈F 2〉 | 〈L〉 | 〈L 2〉 | |||
---|---|---|---|---|---|---|---|---|
Model | Train | Test | Train | Test | 2.0 | 0.785 | 0.518 | 0.333 |
1 | 0.633 | 0.627 | 0.462 | 0.456 | 1.859 | 0.83 | 0.431 | 0.254 |
2 | 0.641 | 0.638 | 0.471 | 0.469 | 1.954 | 0.808 | 0.464 | 0.29 |
3 | 0.640 | 0.635 | 0.470 | 0.465 | 1.943 | 0.812 | 0.462 | 0.287 |
4 | 0.653 | 0.647 | 0.484 | 0.479 | 1.892 | 0.826 | 0.435 | 0.258 |
5 | 0.661 | 0.654 | 0.494 | 0.486 | 2.006 | 0.799 | 0.475 | 0.302 |
6 | 0.650 | 0.646 | 0.481 | 0.478 | 1.929 | 0.817 | 0.447 | 0.271 |
7 | 0.641 | 0.636 | 0.470 | 0.465 | 2.007 | 0.798 | 0.48 | 0.307 |
8 | 0.661 | 0.662 | 0.499 | 0.494 | 1.96 | 0.809 | 0.46 | 0.284 |
9 | 0.665 | 0.659 | 0.498 | 0.491 | 1.898 | 0.818 | 0.452 | 0.277 |
10 | 0.661 | 0.656 | 0.494 | 0.497 | 2.031 | 0.794 | 0.476 | 0.305 |
11 | 0.653 | 0.648 | 0.484 | 0.479 | 1.933 | 0.817 | 0.45 | 0.274 |
12 | 0.656 | 0.650 | 0.488 | 0.481 | 1.942 | 0.813 | 0.46 | 0.285 |
Mean | 0.652±0.011 | 0.647±0.010 | 0.483±0.012 | 0.477±0.011 | 1.946±0.050 | 0.812±0.011 | 0.457±0.015 | 0.282±0.017 |