Biomarker Segmentation on Data Science Bowl (DSB) 2018 (test)
97.71IoUMCGU-Net
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| MCGU-NetNumber of dense blocks (d)=32020.03 | 97.71 | 98.84 | — | — | — | — | — | 93.06 | 97.71 | |
| MCGU-NetNumber of dense blocks (d)=12020.03 | 97.66 | 98.82 | — | — | — | — | — | 92.95 | 97.66 | |
| Ourstrained_from_scratch=true2025.06 | 89.48 | 94.42 | 94.94 | 93.94 | 0.0036 | 2.6655 | 0.8559 | — | — | |
| SAC 0-expertcopied_from_original_paper=true2025.06 | 87.32 | 93.04 | — | — | — | — | — | — | — | |
| UN-SAMcopied_from_original_paper=true2025.06 | 86.93 | 92.84 | — | — | — | — | — | — | — | |
| EMCADfine-tuned=true2025.06 | 86.36 | 92.18 | 90.53 | 94.89 | 0.0544 | 6.4516 | 1.44 | — | — | |
| UCTransNetfine-tuned=true2025.06 | 85.28 | 91.25 | 93.87 | 90.02 | 0.0158 | 11.514 | 2.5552 | — | — | |
| PVT-CASCADEfine-tuned=true2025.06 | 85.05 | 91.07 | 90.55 | 93.02 | 0.013 | 7.5427 | 1.7861 | — | — | |
| TransUNetfine-tuned=true2025.06 | 84.72 | 90.9 | 93.37 | 89.86 | 0.0162 | 11.213 | 2.7168 | — | — | |
| Swin-Unetfine-tuned=true2025.06 | 84.49 | 91.03 | 90.77 | 92.72 | 0.0132 | 8.0415 | 1.9232 | — | — | |
| UNet++fine-tuned=true2025.06 | 83.95 | 91.1 | 88.49 | 94.26 | 0.0115 | 10.045 | 2.4359 | — | — | |
| U-Netfine-tuned=true2025.06 | 83.83 | 90.17 | 89.09 | 93.78 | 0.0128 | 7.6797 | 1.9192 | — | — | |
| U-net2020.03 | 83.1 | 90.77 | — | — | — | — | — | 89.94 | 96.04 | |
| U2-Netfine-tuned=true2025.06 | 82.96 | 90.03 | 90.28 | 91.08 | 0.0163 | 10.869 | 2.3375 | — | — | |
| SegResNetfine-tuned=true2025.06 | 82.91 | 90.01 | 91.54 | 89.75 | 0.0262 | 7.558 | 2.0236 | — | — | |
| FocusNet2020.03 | 81.76 | 89.96 | — | — | — | — | — | 89.98 | 96.97 | |
| Hover-Netfine-tuned=true2025.06 | 81.29 | 89.04 | 88.73 | 91.01 | 0.0246 | 7.6289 | 2.1298 | — | — | |
| FusionU-Netfine-tuned=true2025.06 | 80.47 | 88.34 | 93.76 | 85.12 | 0.0332 | 7.6148 | 1.8682 | — | — | |
| Att U-Net2020.03 | 79.84 | 88.79 | — | — | — | — | — | 88.99 | 96.72 | |
| nnU-Netfine-tuned=true2025.06 | 77.24 | 86.09 | 90.18 | 84.33 | 0.0337 | 9.9094 | 2.7911 | — | — |