首页|New Machine Learning Study Findings Reported from Sun Yat-sen University (From P lan To Delivery: Machine Learning Based Positional Accuracy Prediction of Multi- leaf Collimator and Estimation of Delivery Effect In Volumetric Modulated Arc Th erapy)
New Machine Learning Study Findings Reported from Sun Yat-sen University (From P lan To Delivery: Machine Learning Based Positional Accuracy Prediction of Multi- leaf Collimator and Estimation of Delivery Effect In Volumetric Modulated Arc Th erapy)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting out of Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “Thepositional accuracy of MLC is an important element in establishing the exact dosimetry in VMAT. We comprehensively analyzed factors that may affect MLC positional accuracy in VMAT, and constructed amodel to predict MLC positional deviation and estimate planni ng delivery quality according to the VMATplans before delivery.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningTherapySun Yat-sen Univ ersity
NETL
NSTL
