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View article: Actor critic with experience replay‐based automatic treatment planning for prostate cancer intensity modulated radiotherapy
Actor critic with experience replay‐based automatic treatment planning for prostate cancer intensity modulated radiotherapy Open
Background Achieving highly efficient treatment planning in intensity‐modulated radiotherapy (IMRT) is challenging due to the complex interactions between radiation beams and the human body. The introduction of artificial intelligence (AI)…
View article: Actor Critic with Experience Replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapy
Actor Critic with Experience Replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapy Open
Background: Real-time treatment planning in IMRT is challenging due to complex beam interactions. AI has improved automation, but existing models require large, high-quality datasets and lack universal applicability. Deep reinforcement lea…
View article: The development of a deep reinforcement learning network for dose-volume-constrained treatment planning in prostate cancer intensity modulated radiotherapy
The development of a deep reinforcement learning network for dose-volume-constrained treatment planning in prostate cancer intensity modulated radiotherapy Open
Although commercial treatment planning systems (TPSs) can automatically solve the optimization problem for treatment planning, human planners need to define and adjust the planning objectives/constraints to obtain clinically acceptable pla…