A deep learning framework estimates voxel-wise biological washout parameters from simulated post-proton therapy PET, reducing errors by up to 60% and revealing intratumoral heterogeneity.
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Paganetti, Range uncertainties in proton therapy and the role of Monte Carlo simulations, Physics in Medicine and Biology 57 (2012) R99 – R117
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Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy
A deep learning framework estimates voxel-wise biological washout parameters from simulated post-proton therapy PET, reducing errors by up to 60% and revealing intratumoral heterogeneity.