Medical Image Segmentation via Cascaded Attention Decoding

Benchmark Model Rank Results
medical-image-segmentation-on-automaticTransCASCADE#12Avg DSC: 91.63
medical-image-segmentation-on-automaticPVT-CASCADE#13Avg DSC: 91.46
medical-image-segmentation-on-cvc-clinicdbPVT-CASCADE#14mean Dice: 0.9434mIoU: 0.8998
medical-image-segmentation-on-cvc-colondbPVT-CASCADE#9mean Dice: 0.8254mIoU: 0.7453
medical-image-segmentation-on-etisPVT-CASCADE#8mean Dice: 0.8007mIoU: 0.7258
medical-image-segmentation-on-kvasir-segPVT-CASCADE#17mean Dice: 0.9258mIoU: 0.8776
medical-image-segmentation-on-miccai-2015-1TransCASCADE#6Avg DSC: 82.68Avg HD: 17.34
medical-image-segmentation-on-miccai-2015-1PVT-CASCADE#8Avg DSC: 81.06Avg HD: 20.23
polyp-segmentation-on-kvasir-segPVT-CASCADE#1mDice: 0.9258mIoU: 0.8776