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README.md

@@ -38,9 +38,9 @@ Two masking strategies simulate different acquisition scenarios:
 ### Miss Ratios
 
 | Miss Ratio | Attention UNet | UNet Base | ResUNet |
-| 30% | 6 | 1 | 6 |
-| 50% | 6 | 0 | 6 |
-| 70% | 6 | 0 | 5 |
+| 30% | 6 | 4 | 6 |
+| 50% | 6 | 3 | 6 |
+| 70% | 6 | 3 | 5 |
 
 *Each cell shows the number of trained checkpoints (model × miss-ratio × seed combinations).*
 
@@ -110,7 +110,7 @@ state_dict = torch.load(ckpt_path, map_location="cpu", weights_only=True)
 ## Checkpoint Inventory
 
   - Attention UNet: 18 checkpoints
-  - UNet Base: 1 checkpoints
+  - UNet Base: 10 checkpoints
   - ResUNet: 17 checkpoints
 
 ## References