Neural network prediction method for VMAT radiotherapy plan
A technology of neural network and prediction method, which is applied in the field of neural network prediction for VMAT radiotherapy planning, can solve the problems of single control object, poor performance and large error, and achieve the effect of improving efficiency, small performance error and good effect.
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[0064] Example:
[0065] like Figure 1-Figure 2 As shown, a neural network prediction method for VMAT radiotherapy planning includes the following steps:
[0066] Step 1: Data preparation, obtain data and labels for quality control of multiple VMAT radiotherapy plans, the data format is dicom, the file label is its corresponding gamma pass rate, and the dicom file is preprocessed, and then the data is divided into training sets and test set, the gamma pass rate label is the gold standard based on phantom measurements;
[0067] The data preparation in step 1 includes the following steps:
[0068] Step 1.1: Obtain data and labels, obtain data and labels for quality control of multiple cases of VMAT radiotherapy plans, use matlab to calculate radiotherapy plan characteristics and related parameters of accelerators from dicom original files, and calculate multiple dicom original files for each case. Accelerator parameters and parameters related to multiple radiotherapy plans, ...
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