A Controlled Evaluation of Architectural Enhancements to 3D U-Net for Automated Radiotherapy Dose Prediction
To systematically assess whether commonly proposed architectural enhancements provide measurable benefits for deep learning-based radiotherapy dose prediction, using controlled comparisons of 3D U-Net variants to support evidence-based model selection and est...
Poster Program · Therapy Physics