Beyond Global Metrics: Unmasking Clinically Meaningful Deviations Using a Novel Local Metric In Regression Testing of Deployed Auto-Segmentation Models
Deep-learning (DL) auto-segmentation is routinely used clinically, yet domain shift and vendor model upgrades can change behavior in non-intuitive ways. We present a regression-testing framework to commission upgraded commercial auto-contouring models and to...
Poster Program · Therapy Physics