Li, Xinyi https://orcid.org/0000-0001-9995-8101
Ge, Yaorong
Wu, Qiuwen https://orcid.org/0000-0003-0748-7280
Wang, Chunhao https://orcid.org/0000-0002-6945-7119
Sheng, Yang https://orcid.org/0000-0003-3380-1966
Wang, Wentao https://orcid.org/0000-0003-4216-4938
Stephens, Hunter https://orcid.org/0000-0002-5473-4419
Yin, Fang-Fang https://orcid.org/0000-0002-2025-4740
Wu, Q. Jackie https://orcid.org/0000-0001-8235-2322
Funding for this research was provided by:
Foundation for the National Institutes of Health (#R01CA201212)
master research agreement with Varian medical systems
Article Title: Input feature design and its impact on the performance of deep learning models for predicting fluence maps in intensity-modulated radiation therapy
Journal Title: Physics in Medicine & Biology
Article Type: paper
Copyright Information: © 2022 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2022-06-14
Date Accepted: 2022-10-07
Online publication date: 2022-10-21