首页|Centre Francois Baclesse Reports Findings in Machine Learning (Machine learning and deep learning prediction of patient specific quality assurance in breast IMR T radiotherapy plans using Halcyon specific complexity indices)
Centre Francois Baclesse Reports Findings in Machine Learning (Machine learning and deep learning prediction of patient specific quality assurance in breast IMR T radiotherapy plans using Halcyon specific complexity indices)
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 - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Caen, France, by NewsRx journalists, research stated, “New radiotherapy machinessuch as Halcy on are capable of delivering dose-rate of 600 monitor-units per minute, allowing largenumbers of patients treated per day. However, patient-specific quality as surance (QA) is still required,which dramatically decrease machine availability .”
CaenFranceEuropeCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine LearningRadiot herapy