TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-cvc-clinicdbTransFuse-L#25mean Dice: 0.934
medical-image-segmentation-on-cvc-clinicdbTransFuse-S#32mean Dice: 0.918
medical-image-segmentation-on-cvc-colondbTransFuse-S#16mean Dice: 0.773mIoU: 0.696
medical-image-segmentation-on-cvc-colondbTransFuse-L#20mean Dice: 0.744mIoU: 0.676
medical-image-segmentation-on-etisTransFuse-L#15mean Dice: 0.737mIoU: 0.661
medical-image-segmentation-on-etisTransFuse-S#16mean Dice: 0.733mIoU: 0.659
medical-image-segmentation-on-kvasir-segTransFuse-L#21mean Dice: 0.918mIoU: 0.868
medical-image-segmentation-on-kvasir-segTransFuse-S#22mean Dice: 0.918mIoU: 0.868