Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files

Objectives: In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation therapy (IMRT) quality assurance (QA) gamma passing rates using delivery fluence informed by log files. Methods: A total of 112 IMRT plans for chest cancers were planned and measured by port...

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Bibliographic Details
Main Authors: Ying Huang MS, Yifei Pi PhD, Kui Ma, Xiaojuan Miao, Sichao Fu ME, Zhen Zhu, Yifan Cheng, Zhepei Zhang, Hua Chen MS, Hao Wang MS, Hengle Gu MS, Yan Shao MS, Yanhua Duan ME, Aihui Feng MS, Weihai Zhuo PhD, Zhiyong Xu PhD
Format: Article
Language:English
Published: SAGE Publishing 2022-06-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338221104881

Internet

https://doi.org/10.1177/15330338221104881

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