Table 3.
IOU score for ETT segmentation based on single loss function.
| Groups | Loss function | IOU score | |||||
|---|---|---|---|---|---|---|---|
| Fold1 | Fold2 | Fold3 | Fold4 | Fold5 | Mean | ||
| Region-base loss | Dice | 0.8583 | 0.8453 | 0.7290 | 0.7391 | 0.7797 | 0.7902 |
| Tversky | 0.6864 | 0.7201 | 0.7119 | 0.7541 | 0.8396 | 0.7424 | |
| Jaccard | 0.8571 | 0.7007 | 0.6322 | 0.7229 | 0.7653 | 0.7356 | |
| Average = | 0.7560 | ||||||
| Distribution-based loss | BCE | 0.8648 | 0.8377 | 0.7893 | 0.8421 | 0.7865 | 0.8240 |
| Focal | 0.8849 | 0.8319 | 0.8004 | 0.8308 | 0.8412 | 0.8378 | |
| MCC | 0.8841 | 0.8419 | 0.7732 | 0.8731 | 0.8616 | 0.8467 | |
| Average = | 0.8361 | ||||||