首页|Data on Machine Learning Reported by Maria S. Espain and Colleagues (From nuclear track characterization to machine learning based image classification in neutron autoradiography for boron neutron capture therapy)
Data on Machine Learning Reported by Maria S. Espain and Colleagues (From nuclear track characterization to machine learning based image classification in neutron autoradiography for boron neutron capture therapy)
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 the subject of a report. According to newsreporting from Buenos Aires, Argentina, by NewsRx journalists, research stated, “Knowledge of the 10Bmicrodistribution is of great relevance in BNCT studies. Since 10B concentration assesment throughneutron autoradiography depends on the correct quantification of tracks in a nuclear track detector, imageacquisition and processing conditions should be controlled and verified, in order to obtain accurate resultsto be applied in the frame of BNCT.”
Buenos AiresArgentinaSouth AmericaBoron Neutron Capture TherapyCyborgsEmerging TechnologiesHealth and MedicineHigh-Energy RadiotherapyMachine LearningNeutron Capture TherapyRadiotherapy
NETL
NSTL
