Table 2.
Voxel-wise segmentation performance
| Dataset | Model | Precision↑ (95% CI) | Recall↑ (95% CI) | DSC↑ (95% CI) | 95% HD↓ (95% CI) | AUC↑ (95% CI) | AP↑ (95% CI) |
|---|---|---|---|---|---|---|---|
| Internal test | U-Net | 14.0 (11.9–16.2) | 71.3 (63.9–78.7) | 23.2 (20.5–25.9) | 19.6 (17.9–21.3) | 98.8 (98.6–99.0) | 17.5 (14.6–20.4) |
| HeadXNet | 16.2 (13.1–19.2) | 55.6 (33.0–78.2) | 23.2 (20.6–25.9) | 15.9 (14.6–17.1) | 98.2 (97.1–99.2) | 25.0 (12.0–38.0) | |
| GLIA-Net (ours) | 48.8 (44.5–53.0) | 72.9 (66.9–78.9) | 57.9 (56.4–59.5) | 9.07 (7.84–10.3) | 98.2 (97.6–98.8) | 61.9 (59.4–64.4) | |
| External test A | U-Net | 23.9 (20.7–27.1) | 71.0 (59.3–82.8) | 35.3 (31.8–38.9) | 19.5 (17.7–21.3) | 97.9 (97.7–98.2) | 30.2 (21.9–38.4) |
| HeadXNet | 27.1 (20.6–33.6) | 52.7 (29.2–76.2) | 32.4 (25.5–39.3) | 15.6 (14.2–17.0) | 96.2 (92.8–99.6) | 32.1 (18.6–45.6) | |
| GLIA-Net (ours) | 71.2 (65.2–77.3) | 83.9 (82.2–85.7) | 76.8 (73.7–79.9) | 8.28 (7.05–9.52) | 99.0 (98.8–99.1) | 80.5 (78.6–82.3) | |
| External test B | U-Net | 6.54 (5.65–7.44) | 43.6 (37.9–49.3) | 11.3 (9.94–12.7) | 21.0 (19.7–22.3) | 86.9 (83.0–90.7) | 6.86 (5.22–8.49) |
| HeadXNet | 14.8 (10.2–19.4) | 32.6 (22.3–43.0) | 18.1 (15.7–20.6) | 15.9 (14.5–17.2) | 86.1 (81.3–91.0) | 14.3 (8.69–19.9) | |
| GLIA-Net (ours) | 59.8 (54.7–64.8) | 57.4 (43.0–71.8) | 57.2 (50.5–64.0) | 8.78 (7.79–9.76) | 98.2 (97.2–99.2) | 55.8 (44.0–67.6) |
Values are given in units of % except for 95% HD, which is given in mm.