University of Michigan Reports Findings in Crohn’s Disease (Machine learning met hods in automated detection of CT enterography findings in Crohn’s disease: A fe asibility study)
University of Michigan Reports Findings in Crohn’s Disease (Machine learning met hods in automated detection of CT enterography findings in Crohn’s disease: A fe asibility study)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Digestive System Disea ses and Conditions - Crohn’s Disease is thesubject of a report. According to ne ws originating from Ann Arbor, Michigan, by NewsRx correspondents,research stat ed, “Qualitative findings in Crohn’s disease (CD) can be challenging to reliably report andquantify. We evaluated machine learning methodologies to both standa rdize the detection of commonqualitative findings of ileal CD and determine fin ding spatial localization on CT enterography (CTE).”
Key words
Ann Arbor/Michigan/United States/Nort h and Central America/Crohn’s Disease/Cyborgs/Digestive System Diseases and C onditions/Emerging Technologies/Gastroenteritis/Gastroenterology/Gastrointes tinal/Gastrointestinal Diseases and Conditions/Health and Medicine/Machine Le arning
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