Various metrics (mean ± standard deviation) showing the performance of the deep learning model from all 5 runs of the cross-validation processa
Run 1 | Run 2 | Run 3 | Run 4 | Run 5 | Average | |
---|---|---|---|---|---|---|
Dice coefficient | 0.91 ± 0.03 | 0.92 ± 0.03 | 0.91 ± 0.03 | 0.91 ± 0.02 | 0.92 ± 0.03 | 0.91 ± 0.03 |
Spatial correlation coefficient | 0.84 ± 0.05 | 0.77 ± 0.10 | 0.81 ± 0.07 | 0.78 ± 0.08 | 0.81 ± 0.08 | 0.80 ± 0.08 |
MAE (HU) | 89.32 ± 12.29 | 109.18 ± 23.49 | 98.95 ± 13.75 | 105.10 ± 17.62 | 120.29 ± 26.91 | 104.57 ± 21.33 |
↵a Averaged metrics from all 40 testing datasets are also included.