Xiao Furen 2ae08ac2cd refactor(imaging): improve orientation detection and segmentation robustness ... 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.		2026-09-07 18:46:06 +08:00
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__init__.py	first commit	2026-04-10 13:25:27 +08:00
affine.py	first commit	2026-04-10 13:25:27 +08:00
nifti_io.py	first commit	2026-04-10 13:25:27 +08:00
orientation.py	refactor(imaging): improve orientation detection and segmentation robustness	2026-09-07 18:46:06 +08:00
preprocessing.py	refactor(imaging): improve orientation detection and segmentation robustness	2026-09-07 18:46:06 +08:00
resample.py	feat(core): implement vertebral body rewards and enhanced segmentation logic	2026-09-05 04:30:10 +08:00
segmentation.py	feat(core): implement vertebral body rewards and enhanced segmentation logic	2026-09-05 04:30:10 +08:00