Robotics & Machine Learning Daily News2024,Issue(Jan.4) :2-2.

Sun Yat-sen University Cancer Center Reports Findings in Machine Learning (Machine learning-based ensemble prediction model for the gamma passing rate of VMAT-SBRT plan)

Robotics & Machine Learning Daily News2024,Issue(Jan.4) :2-2.

Sun Yat-sen University Cancer Center Reports Findings in Machine Learning (Machine learning-based ensemble prediction model for the gamma passing rate of VMAT-SBRT plan)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated,“The purpose of this study was to accurately predict or classify the beam GPR with an ensemble model byusing machine learning for SBRT(VMAT) plans. A total of 128 SBRT VMAT plans with 330 arc beamswere retrospectively selected, and 216 radiomics and 34 plan complexity features were calculated for eacharc beam.”

Key words

Guangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文