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A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation.

Jul 2026 · Journal of imaging informatics in medicine · 0 citations · 24 references
Medicine

TL;DR

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.

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