Toward Universal Dose Prediction: A Site-Agnostic Deep Learning Framework with Strategic Goal Array Integration for IMRT and VMAT Plans
Deep learning (DL)-based dose prediction has become an important component of modern radiotherapy treatment planning. However, most existing approaches depend on site-specific models, necessitating separate training for each anatomical site, which limits scal...
Proffered Program · Therapy Physics