Adversarial Perturbation Analysis for Robustness Testing of Deep Learning–Based Radiation Therapy Dose Prediction
Deep learning–based three‑dimensional (3D) dose prediction models are increasingly becoming viable for radiotherapy workflows. However, their sensitivity to small variations in input data remains insufficiently characterized. This study presents a framework t...
Poster Program · Therapy Physics