Statistical process control for performance monitoring and continuous quality assurance of deep learning segmentations in radiotherapy
A CQA framework for DLS was successfully implemented using SPC and adapted Nelson rules to automatically report outliers and trend shifts, which led to automatic detection of such deviations.
Authors
- E. Hagelaar
- Coen Hurkmans (ORCID: https://orcid.org/0000-0003-2268-0492)
- J.J. Bluemink (ORCID: https://orcid.org/0009-0003-7207-6127)
- Dave van Gruijthuijsen
- Niels van Acht
Institutions
- Radboud University Nijmegen (NL)
- Catharina Ziekenhuis (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.phro.2025.100873
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00