From: Learning rich features with hybrid loss for brain tumor segmentation
Loss function | DSC | PPV | Sensitivity | ||||||
---|---|---|---|---|---|---|---|---|---|
Complete | Core | Enh | Complete | Core | Enh | Complete | Core | Enh | |
cross entropy | 0.85 | 0.67 | 0.59 | 0.87 | 0.83 | 0.60 | 0.85 | 0.62 | 0.64 |
\(\mathrm{H}{L}_{ce\_\_rl\_loss}\) | 0.85 | 0.71 | 0.60 | 0.83 | 0.76 | 0.57 | 0.89 | 0.73 | 0.68 |
combined Dice loss | 0.85 | 0.69 | 0.59 | 0.86 | 0.82 | 0.64 | 0.87 | 0.65 | 0.60 |
\(\mathrm{H}{L}_{cb\_\_rl\_loss}\) | 0.85 | 0.71 | 0.59 | 0.85 | 0.75 | 0.58 | 0.87 | 0.74 | 0.65 |