A distilled diffusion model generates clinically feasible fluence maps for VMAT and an LSTM-based optimizer refines them to meet dose objectives, improving efficiency and deliverability on prostate cancer data.
Medical Physics52(11), e70132 (2025)
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Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-based Optimization
A distilled diffusion model generates clinically feasible fluence maps for VMAT and an LSTM-based optimizer refines them to meet dose objectives, improving efficiency and deliverability on prostate cancer data.