首页|National and Kapodistrian University of Athens Reports Findings in Machine Learn ing (Accuracy of distinguishing benign, high-risk lesions and malignancies with inductive machine learning models in BIRADS 4 and BIRADS 5 lesions on breast MR …)
National and Kapodistrian University of Athens Reports Findings in Machine Learn ing (Accuracy of distinguishing benign, high-risk lesions and malignancies with inductive machine learning models in BIRADS 4 and BIRADS 5 lesions on breast MR …)
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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 Athens, Greece, by NewsR x journalists, research stated, “The aim of this study is toexplore the utility of Inductive Decision Tree models (IDTs) in distinguishing between benign, mali gnant,and high-risk (B3) breast lesions. We analyzed 124 histologically confirm ed lesions in 114 patients whounderwent breast MR with BI-RADS 4 or 5 assessmen t.”
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