Neural network calibration for radiotherapy
AssigneeVarian Medical Systems International AG
InventorsMikko Hakala, Esa Kuusela, Elena Czeizler, Shahab Basiri
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AssigneeVarian Medical Systems International AG
InventorsMikko Hakala, Esa Kuusela, Elena Czeizler, Shahab Basiri
Estimating the term…
Disclosed herein are systems and methods for identifying radiation therapy treatment data for patients. A processor accesses a neural network trained based on a first set of data generated from characteristic values of a first set of patients that received treatment at one or more first radiotherapy machines. The processor executes the neural network using a second set of data comprising characteristic values of a second set of patients receiving treatment at one or more second radiotherapy machines. The processor executes a calibration model using an output of the neural network based on the second set of data to output a calibration value. The processor executes the neural network using a set of characteristics of a first patient to output a first confidence score associated with a first treatment attribute. The processor then adjusts the first confidence score according to the calibration value to predict the first treatment attribute.
A method comprising:
A system comprising:
Dependencies are inferred from the claim text.