Medical Image Segmentation on LIDC-IDRI (test)
0.208GEDSSB++
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SSB++NFE=502025.09 | 0.208 | 0.943 | 95.8 | 0.997 | 0.427 | 0.356 | — | — | |
| SSBNFE=502025.09 | 0.245 | 0.925 | 94.5 | 0.995 | 0.397 | 0.317 | — | — | |
| CCDMNFE=10002025.09 | 0.264 | 0.886 | 91.8 | 0.997 | 0.402 | 0.324 | — | — | |
| PhiSeg2025.09 | 0.27 | 0.904 | 73.6 | — | — | — | — | — | |
| PHi-Seg2023.04 | 0.27 | 0.904 | 73.6 | — | — | — | — | — | |
| Prob-UNetNsample=152025.07 | 0.29 | 0.87 | — | — | — | — | 0.831 | 52.5 | |
| Uncertainty Flow MatchingNsample=152025.07 | 0.292 | 0.876 | — | — | — | — | 0.835 | 59.5 | |
| CIMDNsample=152025.07 | 0.297 | 0.87 | — | — | — | — | 0.83 | 55.6 | |
| Generalized Probabilistic U-net2023.04 | 0.299 | 0.905 | 70.7 | — | — | — | — | — | |
| Prob-UNetNsample=102025.07 | 0.3 | 0.859 | — | — | — | — | 0.817 | 52 | |
| Prob. UNet2025.09 | 0.31 | 0.907 | 83.1 | 97.9 | 0.391 | 0.287 | — | — | |
| CIMDNFE=10002025.09 | 0.318 | 0.841 | 88.3 | 0.996 | 0.341 | 0.214 | — | — | |
| CIMD2023.04 | 0.321 | 0.915 | 75.9 | — | — | — | — | — | |
| Uncertainty Flow MatchingNsample=102025.07 | 0.323 | 0.848 | — | — | — | — | 0.832 | 57.8 | |
| CIMDNsample=102025.07 | 0.339 | 0.835 | — | — | — | — | 0.828 | 58.4 | |
| Probabilistic Unet2023.04 | 0.353 | 0.892 | 73.1 | — | — | — | — | — | |
| Prob-UNetNsample=52025.07 | 0.353 | 0.787 | — | — | — | — | 0.75 | 50.5 | |
| CIMDNsample=52025.07 | 0.395 | 0.778 | — | — | — | — | 0.791 | 55.6 | |
| Uncertainty Flow MatchingNsample=52025.07 | 0.409 | 0.739 | — | — | — | — | 0.816 | 53.7 | |
| DDPM-Prob-SegDescription=DDPM trained with different segmentation masks2023.04 | 0.417 | 0.689 | 68.3 | — | — | — | — | — | |
| PHiSegNsample=152025.07 | 0.513 | 0.586 | — | — | — | — | 0.358 | 57.7 | |
| PHiSegNsample=102025.07 | 0.518 | 0.578 | — | — | — | — | 0.342 | 58.1 | |
| PHiSegNsample=52025.07 | 0.533 | 0.565 | — | — | — | — | 0.31 | 57.9 | |
| DDPM-det-SegDescription=DDPM trained using the average of all segmentation masks2023.04 | 1.081 | 0.548 | 61.6 | — | — | — | — | — |