PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Benchmark Model Rank Results
camouflaged-object-segmentation-on-camoPraNet#9S-Measure: 0.769Weighted F-Measure: 0.663MAE: 0.094
camouflaged-object-segmentation-on-pcod-1200PraNet#2S-Measure: 0.904
medical-image-segmentation-on-cvc-clinicdbPraNet#39mean Dice: 0.8990
medical-image-segmentation-on-cvc-colondbPraNet#22mean Dice: 0.709Average MAE: 0.045S-Measure: 0.819
medical-image-segmentation-on-etisPraNet#21mean Dice: 0.6280Average MAE: 0.031S-Measure: 0.794
medical-image-segmentation-on-kvasir-segPraNet#36mean Dice: 0.898Average MAE: 0.030S-Measure: 0.915
video-polyp-segmentation-on-sun-seg-easyPraNet#9Dice: 0.621S measure: 0.733mean E-measure: 0.753
video-polyp-segmentation-on-sun-seg-hardPraNet#9Dice: 0.598S-Measure: 0.717mean E-measure: 0.735