Results on the performance of our trained autosegmentation model using nnU-Net architecture on multi-institutional BraTS-PEDs 2023 data (n = 92)a
| Region/Metric | Dice Score Mean (Median) | Sensitivity Mean (Median) | 95% Hausdorff Distance Mean (Median) |
|---|---|---|---|
| WT | 0.87 (SD, 0.13) (0.91) | 0.82 (SD, 0.16) (0.88) | 6.47 (SD, 15.99) (3) |
| ET | 0.48 (SD, 0.38) (0.58) | 0.55 (SD, 0.35) (0.71) | 11.26 (SD, 20.06) (3.40) |
| TC | 0.83 (SD, 0.18) (0.89) | 0.82 (SD, 0.17) (0.87) | 7.65 (SD, 16.27) (3.67) |
Note:—The metrics are reported for whole tumor, enhancing tumor, and tumor core (ET + CC + NET) in agreement with BraTS-PEDs evaluation method.