Lung CT Synthesis on Lung CT
35.4Recall (Full-range)VQVAE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| VQVAEApproach=Multi-decoder, Reconstruction Model=MLP02026.03 | 35.4 | 18.8 | 36.6 | 33.4 | 53.8 | |
| VQVAEApproach=Multi-head, Reconstruction Model=MLP02026.03 | 33.4 | 24.3 | 33.5 | 42.4 | 47.4 | |
| VQVAEApproach=Multi-head, Reconstruction Model=CNN3×3×32026.03 | 26.6 | 23.9 | 43.6 | 43.2 | 48.2 | |
| Score-based DMApproach=Baseline, Reconstruction Model=-2026.03 | 26.3 | 28.2 | 48.3 | 42.7 | 46.4 | |
| VQVAEApproach=Multi-decoder, Reconstruction Model=CNN3×3×32026.03 | 21.7 | 20.2 | 38.2 | 45.9 | 48.6 | |
| VQVAEApproach=Multi-channel, Reconstruction Model=CNN3×3×32026.03 | 20.5 | 20.2 | 43.5 | 37.7 | 50.7 | |
| VQVAEApproach=Baseline, Reconstruction Model=-2026.03 | 17.9 | 10.9 | 40.7 | 23.5 | 30.1 | |
| VQVAEApproach=Multi-channel, Reconstruction Model=MLP02026.03 | 16 | 26.3 | 47 | 30.7 | 50.9 | |
| Score-based DMApproach=Multi-channel, Reconstruction Model=CNN3×3×32026.03 | 12.7 | 6 | 2.4 | 3.4 | 0.4 | |
| Score-based DMApproach=Multi-channel, Reconstruction Model=MLP02026.03 | 10 | 7.3 | 2.7 | 4.4 | 0.7 | |
| WGAN-GPApproach=Baseline, Reconstruction Model=-2026.03 | 1.6 | 6 | 4.8 | 2.3 | 0.6 | |
| WGAN-GPApproach=Multi-channel, Reconstruction Model=MLP02026.03 | 0.3 | 0.5 | 4.5 | 7.9 | 0.2 | |
| WGAN-GPApproach=Multi-channel, Reconstruction Model=CNN3×3×32026.03 | 0 | 3.8 | 11.9 | 7.8 | 0.8 |