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352473c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # TC-SemiSAM3-new
Semi-supervised SAM3 model for coronary vessel segmentation.
## Model Description
This is the final checkpoint from semi-supervised training using:
- 5 labeled videos
- 31 unlabeled videos
- Mean Teacher framework with temporal consistency
## Usage
```python
import torch
# Load checkpoint
checkpoint = torch.load("checkpoint_final.pt", map_location="cpu")
# Get student model weights
state_dict = checkpoint["student_state_dict"]
# Load into SAM3 model
model.load_state_dict(state_dict, strict=False)
```
## Training Details
- Framework: Mean Teacher + Temporal Consistency
- Labeled data: 5 videos (140 frames)
- Unlabeled data: 31 videos
- Confidence-aware regularization enabled
## Performance
| Dataset | Dice | clDice |
|---------|------|--------|
| 36 Training Videos | 0.6811 | 0.7492 |
| 36 Videos (Adaptive) | 0.7232 | 0.7775 |
## Related
- GitHub: https://github.com/qimingfan10/TC-SemiSAM.git
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