首页|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)
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)
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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.”
GuangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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