首页|Data on Artificial Intelligence Reported by Mehmet Yigit Avci and Colleagues (Si mulation of acquisition shifts in T2 weighted fluidattenuated inversion recover y magnetic resonance images to stress test artificial intelligence segmentation …)
Data on Artificial Intelligence Reported by Mehmet Yigit Avci and Colleagues (Si mulation of acquisition shifts in T2 weighted fluidattenuated inversion recover y magnetic resonance images to stress test artificial intelligence segmentation …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Munich, Germany , by NewsRx correspondents, research stated, “To provide a simulationframework for routine neuroimaging test data, which allows for ‘stress testing’ of deep se gmentationnetworks against acquisition shifts that commonly occur in clinical p ractice for T2 weighted (T2w) fluidattenuatedinversion recovery magnetic reson ance imaging protocols. The approach simulates ‘acquisitionshift derivatives’ o f MR images based on MR signal equations.”
MunichGermanyEuropeArtificial Inte lligenceBusinessEmerging TechnologiesHealth and MedicineMachine LearningMagnetic Resonance
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