ResUNet++: An Advanced Architecture for Medical Image Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-cvcResUNet++#3Dice: 0.8798mIoU: 0.8730Recall: 0.7749precision: 0.6702
medical-image-segmentation-on-cvc-clinicdbResUNet++#41mean Dice: 0.7955
medical-image-segmentation-on-etisResUNet++#20mean Dice: 0.6364mIoU: 0.7534
medical-image-segmentation-on-kvasir-segResUNet++#48mean Dice: 0.8133
polyp-segmentation-on-kvasir-segResUNet++#6mDice: 0.8133mIoU: 0.7927