Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.
Journal:
International journal of radiation oncology, biology, physics
Published Date:
Nov 15, 2019
Abstract
PURPOSE: To assess the accuracy of machine learning to predict and classify quality assurance (QA) results for volumetric modulated arc therapy (VMAT) plans.
Authors
Keywords
Data Accuracy
Female
Genital Neoplasms, Female
Head and Neck Neoplasms
Humans
Machine Learning
Poisson Distribution
Quality Assurance, Health Care
Radiotherapy Planning, Computer-Assisted
Radiotherapy, Intensity-Modulated
Regression Analysis
Reproducibility of Results
Sensitivity and Specificity
Workload