Multicenter Evaluation of a Deep Learning Model for Automatic Contouring of Cardiac Substructures in Adults.
PURPOSE Efficient delineation of cardiac substructures is essential for assessing radiation-induced cardiac toxicity in thoracic radiotherapy. We clinically evaluated a deep learning model designed for automated segmentation of these structures. METHODS AND MATERIALS The model built in collaboration with XXX (XXX) ge...