首页|University of Guelph Reports Findings in Machine Learning (Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning)

University of Guelph Reports Findings in Machine Learning (Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning)

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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 originating from Guelph, Cana da, by NewsRx correspondents, research stated, “Thoracic radiographsare an esse ntial diagnostic tool in companion animal medicine and are frequently used as a part ofroutine workups in patients presenting for coughing, respiratory distres s, cardiovascular diseases, and forstaging of neoplasia. Quality control is a c ritical aspect of radiology practice in preventing misdiagnosisand ensuring con sistent, accurate, and reliable diagnostic imaging.”

GuelphCanadaNorth and Central Americ aCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.2)