Lung CT Synthesis on Lung CT (test)
0.747Precision (Full-range)Score-based DM
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Score-based DMModel Type=Score-based DM, Approach=Baseline, Reconstruction Model=-2026.03 | 0.747 | 0.642 | 0.78 | 0.68 | 0.739 | |
| VQVAEModel Type=VQVAE, Approach=Baseline, Reconstruction Model=-2026.03 | 0.639 | 0.452 | 0.634 | 0.512 | 0.719 | |
| multi-head VQVAEModel Type=VQVAE, Approach=Multi-head, Reconstruction Model=CNN3x3x32026.03 | 0.576 | 0.617 | 0.702 | 0.705 | 0.708 | |
| multi-decoder VQVAEModel Type=VQVAE, Approach=Multi-decoder, Reconstruction Model=CNN3x3x32026.03 | 0.564 | 0.541 | 0.584 | 0.651 | 0.652 | |
| multi-head VQVAEModel Type=VQVAE, Approach=Multi-head, Reconstruction Model=MLP02026.03 | 0.454 | 0.348 | 0.7 | 0.724 | 0.713 | |
| multi-decoder VQVAEModel Type=VQVAE, Approach=Multi-decoder, Reconstruction Model=MLP02026.03 | 0.448 | 0.348 | 0.559 | 0.545 | 0.689 | |
| multi-channel VQVAEModel Type=VQVAE, Approach=Multi-channel, Reconstruction Model=CNN3x3x32026.03 | 0.416 | 0.629 | 0.608 | 0.652 | 0.706 | |
| multi-channel VQVAEModel Type=VQVAE, Approach=Multi-channel, Reconstruction Model=MLP02026.03 | 0.382 | 0.653 | 0.789 | 0.666 | 0.648 | |
| Score-based DMModel Type=Score-based DM, Approach=Multi-channel, Reconstruction Model=MLP02026.03 | 0.311 | 0.218 | 0.066 | 0.313 | 0.182 | |
| Score-based DMModel Type=Score-based DM, Approach=Multi-channel, Reconstruction Model=CNN3x3x32026.03 | 0.208 | 0.208 | 0.068 | 0.234 | 0.183 | |
| WGAN-GPModel Type=WGAN-GP, Approach=Baseline, Reconstruction Model=-2026.03 | 0.022 | 0.121 | 0.132 | 0.262 | 0.056 | |
| WGAN-GPModel Type=WGAN-GP, Approach=Multi-channel, Reconstruction Model=MLP02026.03 | 0.001 | 0.004 | 0.122 | 0.269 | 0.034 | |
| WGAN-GPModel Type=WGAN-GP, Approach=Multi-channel, Reconstruction Model=CNN3x3x32026.03 | 0.001 | 0.062 | 0.213 | 0.21 | 0.029 |