Table 3 Ablation study results for DCATNet on two benchmark polyp segmentation datasets: Kvasir-SEG and CVC-ClinicDB. The table evaluates the contribution of each proposed module by incrementally adding them to the baseline model. The baseline represents a simplified version of DCATNet without the specialized modules. The performance is measured using mDice and mIoU metrics, where higher values indicate better segmentation accuracy. The full DCATNet model, which integrates all modules, achieves the best performance on both datasets. “-DCN" means GAM with standard convolutional operations

From: DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network