Deep learning for gamma map prediction in breast IMRT verification

Background

Patient-specific quality assurance (PSQA) in radiotherapy commonly relies on global gamma passing rate (GPR) metrics, which summarize delivery agreement as a single scalar value and therefore provide limited information about the spatial location of dose delivery discrepancies. Spatial prediction of gamma maps may offer a more informative and interpretable representation of PSQA outcomes.