Table 2.

Segmentation performance comparison (DSC) of fine segmentation models.

Model	Prostate	Rectum	SV	Femoral heads
UNet	0.866 ± 0.034	0.846 ± 0.036	0.687 ± 0.141	0.942 ± 0.017
UNet + E	0.867 ± 0.042	0.847 ± 0.041	0.737 ± 0.103	0.942 ± 0.017
UNet + E + ASE	0.861 ± 0.039	0.847 ± 0.055*	0.751 ± 0.081	0.939 ± 0.015
Residual UNet	0.861 ± 0.044	0.854 ± 0.045	0.736 ± 0.100	0.941 ± 0.017
Residual UNet + E	0.854 ± 0.059	0.844 ± 0.046	0.711 ± 0.121	0.941 ± 0.016
Residual UNet + E + ASE	0.861 ± 0.052	0.842 ± 0.053	0.744 ± 0.098	0.939 ± 0.016
Dense UNet	0.860 ± 0.040	0.839 ± 0.061	0.726 ± 0.128	0.941 ± 0.017
Dense UNet + E	0.863 ± 0.054	0.850 ± 0.041	0.673 ± 0.146	0.942 ± 0.017 *
Dense UNet + E + ASE	0.864 ± 0.040	0.858 ± 0.040 *	0.710 ± 0.139	0.941 ± 0.016

^*denotes statistically significant improvement over same model without enhancement or self-ensembling ($p<0.05$ using Wilcoxon signed-rank test with Bonferroni correction). SV: seminal vesicles. Bold indicates the best performance for each organ.