Medical Image Segmentation on BTCV (3-fold cross-validation)
84.23Mean Dice ScoreAdamCPR
Evaluation Results
| Method | Links | |
|---|---|---|
| AdamCPROptimizer=AdamCPR, Warm start steps (s)=3k, Learning rate warmup=2k, Total training steps=125k, Initialization=Kappa-WS2023.11 | 84.23 | |
| AdamCPROptimizer=AdamCPR, Warm start steps (s)=2k, Learning rate warmup=2k, Total training steps=125k, Initialization=Kappa-WS2023.11 | 84.14 | |
| AdamWOptimizer=AdamW, Weight decay (γ)=1e-2, Learning rate warmup=2k, Total training steps=125k2023.11 | 83.99 | |
| AdamWOptimizer=AdamW, Weight decay (γ)=1e-3, Learning rate warmup=2k, Total training steps=125k2023.11 | 83.17 | |
| AdamWOptimizer=AdamW, Weight decay (γ)=1e-4, Learning rate warmup=2k, Total training steps=125k2023.11 | 83.1 | |
| AdamWOptimizer=AdamW, Weight decay (γ)=1e-5, Learning rate warmup=2k, Total training steps=125k2023.11 | 83.04 | |
| AdamCPROptimizer=AdamCPR, Warm start steps (s)=1k, Learning rate warmup=2k, Total training steps=125k, Initialization=Kappa-WS2023.11 | 81.17 | |
| AdamWOptimizer=AdamW, Weight decay (γ)=1e-1, Learning rate warmup=2k, Total training steps=125k2023.11 | 73.92 | |
| AdamCPROptimizer=AdamCPR, Warm start steps (s)=4k, Learning rate warmup=2k, Total training steps=125k, Initialization=Kappa-WS2023.11 | 55.41 |