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)

Robotics & Machine Learning Daily News2024，Issue(Aug.7) ：63-64.

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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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Abstract

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.

Key words

Vancouver/Canada/North and Central Ame rica/Clinical Research/Clinical Trials and Studies/Computed Tomography/Cybor gs/Emerging Technologies/Health and Medicine/Imaging Technology/Machine Lear ning/Technology

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出版年

2024

Robotics & Machine Learning Daily News

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