From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures

Benchmark Model Rank Results
lesion-segmentation-on-isic-2018SegMedmean Dice: 0.911Mean IoU: 0.841
medical-image-segmentation-on-cvc-clinicdbSegMedmean Dice: 0.948mIoU: 0.902
medical-image-segmentation-on-cvc-colondbSegMedmean Dice: 0.921mIoU: 0.854
medical-image-segmentation-on-etisSegMedmean Dice: 0.936mIoU: 0.879
medical-image-segmentation-on-kvasir-segSegMedmean Dice: 0.947mIoU: 0.899