Refactor the preprocessing and segmentation pipeline to handle AP orientation
variations and improve anatomical boundary detection.
Key changes include:
- Implement automated AP orientation detection in `process_single_image`
to handle prone scans by flipping CT and labels when necessary.
- Enhance `segment_spinous_process` using a gap-based approach to identify
the spinal canal, providing more stable thresholds for spinous process
and vertebral body segmentation.
- Improve optimization search space by using the vertebral body (VBODY)
projection for x/z bounding box calculation instead of the whole bone.
- Refactor `render_bone_figure` to unify 2D/3D visualization and support
detailed anatomical coloring (VBODY, spinous process).
- Update `cl_score_torch_xfr` with more robust penalty handling for
out-of-bone and null-voxel regions.
- Add `retry_robust` utility to handle transient NFS file system errors.
- Update `xfr_preprocess.py` to include anatomical segmentation coloring
in rotated level visualizations.
