G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-automaticMERIT-GCASCADE#7Avg DSC: 92.23
medical-image-segmentation-on-automaticPVT-GCASCADE#11Avg DSC: 91.95
medical-image-segmentation-on-chase-db1MERIT-GCASCADE#1DSC: 0.8267
medical-image-segmentation-on-chase-db1PVT-GCASCADE#2DSC: 0.8251
medical-image-segmentation-on-cvc-clinicdbPVT-GCASCADE#12mean Dice: 0.9468mIoU: 0.9018
medical-image-segmentation-on-cvc-colondbPVT-GCASCADE#8mean Dice: 0.8261mIoU: 0.7460
medical-image-segmentation-on-drive-1MERIT-GCASCADE#1mIoU: 0.7081F1 score: 0.8290Recall: 0.8281Specificity: 0.9844
medical-image-segmentation-on-drive-1PVT-GCASCADE#2mIoU: 0.697F1 score: 0.8210Recall: 0.83Specificity: 0.9822
medical-image-segmentation-on-isic-2018-1PVT-GCASCADE#2DSC: 91.51mIoU: 86.53
medical-image-segmentation-on-kvasir-segPVT-GCASCADE#13mean Dice: 0.9274mIoU: 0.8790
medical-image-segmentation-on-miccai-2015-1MERIT-GCASCADE#2Avg DSC: 84.54Avg HD: 10.38
medical-image-segmentation-on-miccai-2015-1PVT-GCASCADE#5Avg DSC: 83.28Avg HD: 15.83
retinal-vessel-segmentation-on-chase-db1MERIT-GCASCADE#13F1 score: 0.8267mIOU: 0.7050Sensitivity: 0.8493
retinal-vessel-segmentation-on-chase-db1PVT-GCASCADE#14F1 score: 0.8251mIOU: 0.7024Sensitivity: 0.8584
retinal-vessel-segmentation-on-driveMERIT-GCASCADE#15F1 score: 0.8290Accuracy: 0.9707mIoU: 0.7081sensitivity: 0.8281
retinal-vessel-segmentation-on-drivePVT-GCASCADE#18F1 score: 0.8210Accuracy: 0.9689mIoU: 0.6970sensitivity: 0.83