Slice Interpolation on RSNA 30 patients 2019 (test)
0.89SSIML1
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| L1optimization_setting=controlled comparison, learning_rate=8×10−4, batch_size=962026.06 | 0.89 | 0.936 | 0.0166 | 0.0717 | 25.402 | |
| SSIMsoptimization_setting=separately tuned, learning_rate=3×10−3, batch_size=32, K2=0.42026.06 | 0.89 | 0.935 | 0.0192 | 0.0714 | 24.955 | |
| MS-SSIM+L1 (ref.)optimization_setting=controlled comparison, learning_rate=8×10−4, batch_size=962026.06 | 0.888 | 0.936 | 0.0172 | 0.0726 | 25.435 | |
| MSEoptimization_setting=controlled comparison, learning_rate=8×10−4, batch_size=962026.06 | 0.871 | 0.931 | 0.0199 | 0.0774 | 25.399 | |
| FILM2026.06 | 0.848 | 0.891 | 0.0255 | 0.0817 | 22.425 | |
| RIFE2026.06 | 0.847 | 0.887 | 0.0262 | 0.0798 | 22.307 | |
| Mean interpolation baseline2026.06 | 0.784 | 0.822 | 0.0436 | 0.112 | 19.025 | |
| Cubic interpolation baseline2026.06 | 0.778 | 0.823 | 0.0432 | 0.116 | 19.051 |