metadata
tags:
- ct-reconstruction
- sparse-view-ct
- x-ray
- pytorch
NSP V3 strong-fusion Phase-1 prior
This release contains the best Phase-1 checkpoint from the V3 strong X-ray fusion experiment. It was warm-started from the uploaded v27 prior and trained on 500 LUNA16 cases (450 train / 50 held out).
Checkpoint
best.pth: best held-out checkpoint, selected at epoch 24- Held-out Phase-1 PSNR: 34.862 dB
- Input resolution: 128³ volume, 25 sparse projections at 64²
- X-ray fusion: strong fusion enabled
- Null branch: disabled
config.json records the exact training arguments. train_log.txt,
phase1_v3_training_curve.png, and phase1_v3_training_metrics.csv provide
the 30-epoch training record.
Loading
Use the V3 phase_v27/export_prior_v27.py exporter in this repository and
pass best.pth as its checkpoint. The model architecture must be constructed
with the matching config.json fields before loading the checkpoint.