From: A deep learning-based self-adapting ensemble method for segmentation in gynecological brachytherapy
 | Model | DSC-fold0 | DSC-5folds |
---|---|---|---|
Bladder | 2D | 0.902 ± 0.084 | 0.917 ± 0.054 |
3D-fullres | 0.917 ± 0.231 | 0.935 ± 0.05 | |
3D-cascade | 0.908 ± 0.045 | 0.936 ± 0.051 | |
Ensemble | – | 0.935 ± 0.05 | |
Rectum | 2D | 0.795 ± 0.115 | 0.808 ± 0.106 |
3D-fullres | 0.805 ± 0.152 | 0.816 ± 0.098 | |
3D-cascade | 0.820 ± 0.131 | 0.831 ± 0.074 | |
Ensemble | – | 0.831 ± 0.074 | |
HRCTV | 2D | 0.741 ± 0.112 | 0.763 ± 0.136 |
3D-fullres | 0.780 ± 0.091 | 0.806 ± 0.108 | |
3D-cascade | 0.813 ± 0.102 | 0.836 ± 0.07 | |
Ensemble | – | 0.806 ± 0.108 |