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Automatic creation and selection of dose prediction models for treatment plans

机译:自动创建和选择治疗计划的剂量预测模型

摘要

A dose prediction model can be determined for generating a dose distribution of a treatment plan for irradiating a target structure within a patient. Treatment plans from previous patients can be analyzed to determine D characteristic values to obtain a D dimensional point for each treatment plan. The treatment plans can be clustered based on the D dimensional points. The treatment plans of a cluster can then be used to determine a dose prediction model. A dose prediction model for patient can be selected from among multiple models. Characteristics about the patient can be used to determine a D dimensional point corresponding to the patient. The D-dimensional point can be used to select a model in comparison to D dimensional points of the models.
机译:可以确定剂量预测模型,以产生用于照射患者体内的目标结构的治疗计划的剂量分布。可以对先前患者的治疗计划进行分析,以确定D个特征值,以获得每个治疗计划的D个维度点。可以基于D维点对治疗计划进行聚类。然后,可以使用群集的治疗计划来确定剂量预测模型。可以从多个模型中选择针对患者的剂量预测模型。关于患者的特征可以用于确定对应于患者的D维点。与模型的D维点相比,D维点可用于选择模型。

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