A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation.
The validation of a fully automated, annotation-free CT pelvimetry pipeline that is built on a publicly available, interchangeable segmentation backend, derives seven pelvimetric parameters through deterministic rule-based landmark extraction, and is released as an open-source package is presented.