Whole-body lesion segmentation on Deep-PSMA N=200 (test)
65.3DICE (All)Bayes
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| BayesInputs=Aug PET + CT + Unc.2026.06 | 65.3 | 63.9 | 66.8 | 17.9 | 7.4 | 28.3 | 11.4 | 13.5 | 9.2 | |
| DetMeanInputs=Aug PET + CT + Unc.2026.06 | 65.1 | 63.7 | 66.4 | 17.5 | 7.4 | 27.6 | 11.3 | 13.2 | 9.4 | |
| CombinationInputs=Learnt router Weighted MSE; PET2026.06 | 65.1 | 63.9 | 66.2 | 14 | 3.7 | 24.3 | 16.2 | 22.1 | 10.4 | |
| BayesInputs=Base PET + CT2026.06 | 64.7 | 63.8 | 65.5 | 5.6 | 3.4 | 7.8 | 17.9 | 22.3 | 13.5 | |
| DetMeanInputs=Base PET + CT2026.06 | 62.8 | 60.9 | 64.6 | 8.3 | 4.8 | 11.7 | 19.3 | 23.1 | 15.6 |