Table 3.
Segmentation performance of the full two-step segmentation pipeline, compared with ACA-UNet, our multi-organ segmentation model.
| Model | Metric | Prostate | Bladder | Rectum | SV | Femoral heads | Average |
|---|---|---|---|---|---|---|---|
| ACA-UNet | DSC | 0.853 ± 0.045 | 0.956 ± 0.015 | 0.832 ± 0.062 | 0.744 ± 0.116 | 0.935 ± 0.017 | 0.864 ± 0.051 |
| HD95 | 4.91 ± 1.16 | 2.96 ± 0.404 | 6.07 ± 2.54 | 6.60 ± 9.31 | 3.09 ± 1.05 | 4.73 ± 2.90 | |
| Two-step Pipeline | DSC | 0.867 ± 0.042 | 0.957 ± 0.015 | 0.858 ± 0.039 * | 0.752 ± 0.089 | 0.942 ± 0.016 * | 0.875 ± 0.040 * |
| HD95 | 4.35 ± 1.30 * | 2.91 ± 0.290 | 4.95 ± 1.35 * | 4.10 ± 1.29 * | 3.03 ± 1.38 * | 3.87 ± 1.12 * |
denotes statistically significant improvement over ACA-UNet ( using Wilcoxon signed-rank test). SV: seminal vesicles. Bold indicates the best performance for each organ.