Multi-rater Medical Image Segmentation on NPC-170 in-house (test)
0.2359GEDD-Persona (Stage I)
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| D-Persona (Stage I)Number of latent codes=502024.03 | 0.2359 | 80.43 | 77.7 | 77.67 | — | — | — | — | — | |
| D-Persona (Stage I)Number of latent codes=302024.03 | 0.2385 | 80.4 | 77.5 | 77.43 | — | — | — | — | — | |
| D-Persona (Stage I)Number of latent codes=102024.03 | 0.2553 | 79.99 | 76.54 | 76.4 | — | — | — | — | — | |
| TAB2024.03 | 0.276 | 78.9 | 76.68 | 75.15 | 77.33 | 73.45 | 74.83 | 71.67 | 74.32 | |
| D-Persona (Stage II)2024.03 | 0.3199 | 79.01 | 77.26 | 76.61 | 79.78 | 74.6 | 75.22 | 75.17 | 76.19 | |
| Pionono2024.03 | 0.3924 | 76.96 | 75.58 | 75.44 | 78.87 | 74.11 | 71.97 | 75.41 | 75.09 | |
| CM-Global2024.03 | 0.4375 | 76.28 | 75 | 75 | 77.92 | 74.65 | 71.97 | 75.47 | 75 | |
| CM-Pixel2024.03 | 0.44 | 76.39 | 74.92 | 74.92 | 78.97 | 73.93 | 71.65 | 75.12 | 74.92 | |
| Prob. U-NetNumber of latent codes=502024.03 | 0.4465 | 75.34 | 74.24 | 74.24 | — | — | — | — | — | |
| Prob. U-NetNumber of latent codes=302024.03 | 0.4466 | 75.34 | 74.23 | 74.22 | — | — | — | — | — | |
| Prob. U-NetNumber of latent codes=102024.03 | 0.4478 | 75.33 | 74.18 | 74.17 | — | — | — | — | — | |
| U-NetTraining annotation source=Expert A12024.03 | 0.4888 | 73.69 | — | — | 80.9 | 70.51 | 67.14 | 72.57 | 72.78 | |
| U-NetTraining annotation source=Expert A32024.03 | 0.5077 | 72.37 | — | — | 69.46 | 73.09 | 76.25 | 69.86 | 72.17 | |
| U-NetTraining annotation source=Expert A22024.03 | 0.5086 | 73.64 | — | — | 72.05 | 75.62 | 69.93 | 71.85 | 72.36 | |
| U-NetTraining annotation source=Expert A42024.03 | 0.5433 | 71.63 | — | — | 73.71 | 68.77 | 66.08 | 73.54 | 70.52 |