Medical Image Segmentation on Kvasir-Sessile (test)
84.6mIoUMed-DisSeg
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Med-DisSeg2026.05 | 84.6 | 91.3 | 90.4 | 93.3 | |
| ConDSeg (AAAI 2025)2026.05 | 81.2 | 89.1 | 90.1 | 90 | |
| DTAN (KBS 2024)2026.05 | 76.4 | 84.2 | 84.2 | 85.9 | |
| TGANet (MICCAI 2022)2026.05 | 74.4 | 82 | 79.3 | 85.9 | |
| XBFormer (TMI 2023)2026.05 | 73.6 | 81.1 | 87.2 | 76.3 | |
| DCSAU-Net (Comput. Biol. Med. 2023)2026.05 | 72.6 | 81.1 | 65.6 | 62.9 | |
| DoubleAANet (Information Fusion 2025)2026.05 | 72.2 | 82.3 | 89.9 | 79.4 | |
| PraNet (MICCAI 2020)2026.05 | 66.7 | 77.4 | 80.7 | 82.4 | |
| CASF-Net (Comput. Biol. Med. 2023)2026.05 | 60.5 | 72.4 | 78 | 74.8 | |
| U-Net++ (MICCAI 2018)2026.05 | 38.4 | 50.2 | 62.5 | 51.8 | |
| Attn U-Net (MIDL 2018)2026.05 | 27.5 | 38.9 | 59 | 44.4 | |
| U-Net (MICCAI 2015)2026.05 | 23.1 | 33.8 | 45.1 | 46.6 |