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MACHINE LEARNING APPROACH TO REAL-TIME PATIENT MOTION MONITORING
MACHINE LEARNING APPROACH TO REAL-TIME PATIENT MOTION MONITORING
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机译:实时患者运动监控机器学习方法
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摘要
Systems and techniques may be used to estimate a patient state during a radiotherapy treatment. For example, a method may include generating a dictionary of expanded potential patient measurements and corresponding potential patient states using a preliminary motion model. The method may include training, using a machine learning technique, a correspondence motion model relating an input patient measurement to an output patient state using the dictionary. The method may include estimating, using a processor, the patient state corresponding to an input image using the correspondence motion model.
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