A two-stage deep learning pipeline that first mimics clinical VMAT plans and then uses a frozen learned dose predictor as physics guidance modestly improves dose-metric accuracy on 13 prostate patients, though several organ-at-risk reductions are within noise.
Cancer104(6), 1129–1137 (2005)
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Physics-Guided Radiotherapy Treatment Planning with Deep Learning
A two-stage deep learning pipeline that first mimics clinical VMAT plans and then uses a frozen learned dose predictor as physics guidance modestly improves dose-metric accuracy on 13 prostate patients, though several organ-at-risk reductions are within noise.