2 papers
cs.AI2025
A learning-driven automatic planning framework for proton PBS treatments of H&N cancers
Qingqing Wang, Liqiang Xiao, Chang Chang
Proton pencil beam scanning (PBS) treatment planning for head & neck (H&N) cancers involves numerous conflicting objectives, requiring iterative objective parameter adjustments to…
q-bio.QM2024
Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning
Qingqing Wang, Chang Chang
Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is a time-consuming and experience-demanding task where a large number of planning objectives a…