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Dose-PlanNet: Physics Based Radiotherapy Dose Prediction with Deep Learning
Automating prostate radiotherapy treatment planning is dosimetrically complex, particularly for extreme hypofractionated regimens. In this study, we introduce Dose-PlanNet, a physics-guided 3D deep learning architecture designed to predict dose distributions. This model's performance was evaluated on a cohort of patients treated in a prospective trial where two different dose fractionation regimens were employed. Dose-PlanNet achieved comparable target coverage ($D_{95}$), though statistical analysis revealed a marginal reduction in target homogeneity ($p<0.001$) offset. However the model achi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T10:05:01.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.