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Systems and methods for learning models of radiation therapy treatment planning and predicting radiation therapy dose distributions
Systems and methods for learning models of radiation therapy treatment planning and predicting radiation therapy dose distributions
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机译:用于学习放射疗法治疗计划模型并预测放射疗法剂量分布的系统和方法
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摘要
The present disclosure relates to systems and methods for developing radiotherapy treatment plans though the use of machine learning approaches and neural network components. A neural network is trained using one or more three-dimensional medical images, one or more three-dimensional anatomy maps, and one or more dose distributions to predict a fluence map or a dose map. During training the neural network receives a predicted dose distribution determined by the neural network that is compared to an expected dose distribution. Iteratively the comparison is performed until a predetermined threshold is achieved. The trained neural network is then utilized to provide a three-dimensional dose distribution.
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