Table 4.
Segmentation performance of the full two-step segmentation pipeline and other state-of-the-art segmentation methods.
| Model | Metric | Prostate | Bladder | Rectum | SV | Femoral heads | Average |
|---|---|---|---|---|---|---|---|
| nnUNetv2 | DSC | 0.826 ± 0.075 | 0.935 ± 0.091 | 0.832 ± 0.045 | 0.722 ± 0.108 | 0.926 ± 0.019 | 0.848 ± 0.067 |
| HD95 | 6.327 ± 5.070 | 25.103 ± 67.73 | 10.332 ± 8.152 | 4.953 ± 1.871 | 4.804 ± 2.197 | 10.304 ± 17.003 | |
| nnFormer | DSC | 0.830 ± 0.073 | 0.930 ± 0.100 | 0.838 ± 0.047 * | 0.720 ± 0.094 | 0.923 ± 0.022 | 0.848 ± 0.067 |
| HD95 | 6.001 ± 4.151 | 24.911 ± 67.24 | 9.289 ± 7.881 | 4.771 ± 1.351 | 5.237 ± 2.778 | 10.042 ± 16.681 | |
| Swin UNETR | DSC | 0.831 ± 0.067 | 0.920 ± 0.175 | 0.828 ± 0.049 | 0.727 ± 0.106 | 0.924 ± 0.033 | 0.846 ± 0.086 |
| HD95 | 5.829 ± 3.115 | 11.554 ± 46.12 | 8.561 ± 6.060 | 5.550 ± 6.155 | 5.040 ± 4.418 | 7.307 ± 13.173 | |
| Two-Step Pipeline | DSC | 0.836 ± 0.071 | 0.947 ± 0.038 * | 0.828 ± 0.057 | 0.724 ± 0.101 | 0.933 ± 0.020 | 0.854 ± 0.057 |
| HD95 | 5.454 ± 2.790 | 3.931 ± 4.864 * | 8.840 ± 6.760 | 4.444 ± 1.385 | 3.947 ± 2.064 * | 5.323 ± 3.573 |
SV: seminal vesicles. Bold indicates the best performance for each organ.
denotes statistically significant improvement over the second best performing method ( using Wilcoxon signed-rank test with Bonferroni correction).