Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-cvc-clinicdbLite-π (PraNet)#3mean Dice: 0.954
medical-image-segmentation-on-cvc-clinicdbLite-π (U-Net)#8mean Dice: 0.949
medical-image-segmentation-on-cvc-clinicdbLite-π (U-Net++)#28mean Dice: 0.933
medical-image-segmentation-on-kvasir-segLite-π (PraNet)#13mean Dice: 0.929Average MAE: 0.027S-Measure: 0.937…
medical-image-segmentation-on-kvasir-segLite-π (U-Net++)#42mean Dice: 0.876Average MAE: 0.038S-Measure: 0.939…
medical-image-segmentation-on-kvasir-segLite-π (U-Net)#43mean Dice: 0.874Average MAE: 0.040S-Measure: 0.921…