| medical-image-segmentation-on-cvc | ResUNet++ + TTA | #1 | Dice: 0.8125mIoU: 0.8467Recall: 0.6896precision: 0.6421 |
| medical-image-segmentation-on-cvc | ResUNet++ + TTA + CRF | #2 | Dice: 0.8130mIoU: 0.8477Recall: 0.6875precision: 0.6276 |
| medical-image-segmentation-on-cvc | ResUNet++ + CRF | #4 | Dice: 0.8811mIoU: 0.8739Recall: 0.7743precision: 0.6706 |
| medical-image-segmentation-on-cvc-clinicdb | ResUNet++ + TTA | #37 | mean Dice: 0.9020 |
| medical-image-segmentation-on-cvc-clinicdb | ResUNet++ + CRF+ TTA | #38 | mean Dice: 0.9017 |
| medical-image-segmentation-on-cvc-colondb | ResUNet++ + TTA | #7 | mean Dice: 0.8474mIoU: 0.8466 |
| medical-image-segmentation-on-etis | ResUNet++ + TTA | #22 | mean Dice: 0.6136mIoU: 0.7458 |
| medical-image-segmentation-on-kvasir-seg | ResUNet++ + TTA + CRF | #44 | mean Dice: 0.8508mIoU: 0.7800FPS: 69.59 |