Reports from University of Maryland Highlight Recent Findings in Machine Learnin g (Dual Energy Ct for Deep Learning-based Segmentation and Volumetric Estimation of Early Ischemic Infarcts)
Reports from University of Maryland Highlight Recent Findings in Machine Learnin g (Dual Energy Ct for Deep Learning-based Segmentation and Volumetric Estimation of Early Ischemic Infarcts)
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 to newsreporting originating from Baltimore, Maryland, by NewsRx correspondents, research stated, “Ischemic changes are not visible on non-contrast head CT until several hours after infarction, though dee p convolutionalneural networks have shown promise in the detection of subtle im aging findings. This study aimsto assess if dual-energy CT (DECT) acquisition c an improve early infarct visibility for machine learning.”
Key words
Baltimore/Maryland/United States/Nort h and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univers ity of Maryland
NETL
NSTL