首页|University of British Columbia Reports Findings in Machine Learning(Enhancing C OPD classification using combined quantitative computed tomography and texture-b ased radiomics: a CanCOLD cohort study)
University of British Columbia Reports Findings in Machine Learning(Enhancing C OPD classification using combined quantitative computed tomography and texture-b ased radiomics: a CanCOLD cohort study)
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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 from Vancouver, Canada, by Ne wsRx journalists, research stated, “Recent advances in texturebasedcomputed to mography (CT) radiomics have demonstrated its potential for classifying COPD. Participants from the Canadian Cohort Obstructive Lung Disease (CanCOLD) study wer e evaluated.”Financial support for this research came from Natural Sciences and Engineering R esearch Council ofCanada.
VancouverCanadaNorth and Central Ame ricaClinical ResearchClinical Trials and StudiesComputed TomographyCybor gsEmerging TechnologiesHealth and MedicineImaging TechnologyMachine Lear ningTechnology
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