Fig 1.
The architecture of the proposed DLGRAFE-Net network.
Fig 2.
The newly designed SSIA module structure, utilized by the proposed DLGRAFE-Net network.
Fig 3.
The newly designed DSFF module structure, utilized by the proposed DLGRAFE-Net network.
Fig 4.
The newly designed EFE module structure, utilized by the proposed DLGRAFE-Net network.
Fig 5.
The precision-recall curve of the network training process.
Table 1.
Segmentation performance comparison results, obtained on CVC-ClinicDB dataset.
Table 2.
Segmentation performance comparison results, obtained on Kvasir-SEG dataset.
Table 3.
Segmentation performance comparison results, obtained on CVC-300 dataset.
Fig 6.
Sample visualizations of polyp segmentation performance of different networks on CVC-ClinicDB dataset.
Fig 7.
Sample visualizations of polyp segmentation performance of different networks on Kvasir-SEG dataset.
Table 4.
Ablation study results, obtained on CVC-ClinicDB dataset.
Table 5.
Ablation study results, obtained on Kvasir-SEG dataset.
Table 6.
CVC-ClinicDB dataset’s segmentation results based on literature sources.
Table 7.
Kvasir-SEG dataset’s segmentation results based on literature sources.