UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-cvc-clinicdbUACANet-L#28mean Dice: 0.926
medical-image-segmentation-on-cvc-clinicdbUACANet-S#34mean Dice: 0.916
medical-image-segmentation-on-cvc-colondbUACANet-S#14mean Dice: 0.783Average MAE: 0.034S-Measure: 0.848
medical-image-segmentation-on-cvc-colondbUACANet-L#19mean Dice: 0.751Average MAE: 0.039S-Measure: 0.835
medical-image-segmentation-on-etisUACANet-L#12mean Dice: 0.766Average MAE: 0.012S-Measure: 0.859
medical-image-segmentation-on-etisUACANet-S#18mean Dice: 0.694Average MAE: 0.023S-Measure: 0.815
medical-image-segmentation-on-kvasir-segUACANet-L#29mean Dice: 0.912Average MAE: 0.025S-Measure: 0.917
medical-image-segmentation-on-kvasir-segUACANet-S#32mean Dice: 0.905Average MAE: 0.026S-Measure: 0.914