External validation of deep learning-based contouring of head and neck organs at risk

The CT-based DLC model, trained at the University Medical Center Groningen (UMCG), was applied to an independent set of 58 patients from the Radboud University Medical Center (RUMC). DLC results were compared to the RUMC manual reference using the Dice similarity coefficient (DSC) and 95th percentile of Hausdorff distance (HD95). This study demonstrates that the DLC model can provide a reasonable starting point for delineation when applied to an independent patient cohort. Read more here: https://www.sciencedirect.com/science/article/pii/S2405631620300312