MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-cvc-clinicdbMEGANet(Res2Net-50)#20mean Dice: 0.938Average MAE: 0.006mIoU: 0.894
medical-image-segmentation-on-cvc-clinicdbMEGANet(ResNet-34)#27mean Dice: 0.93Average MAE: 0.008mIoU: 0.885
medical-image-segmentation-on-etisMEGANet(ResNet-34)#10mean Dice: 0.789mIoU: 0.709
medical-image-segmentation-on-etisMEGANet(Res2Net-50)#14mean Dice: 0.739mIoU: 0.665
medical-image-segmentation-on-kvasir-segMEGANet(Res2Net-50)#26mean Dice: 0.913Average MAE: 0.025mIoU: 0.863
medical-image-segmentation-on-kvasir-segMEGANet(ResNet-34)#30mean Dice: 0.911Average MAE: 0.026mIoU: 0.859