首页|University of Naples Federico II Reports Findings in Machine Learning (Machine l earning-based discrimination of benign and malignant breast lesions on US: The c ontribution of shear-wave elastography)
University of Naples Federico II Reports Findings in Machine Learning (Machine l earning-based discrimination of benign and malignant breast lesions on US: The c ontribution of shear-wave elastography)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report.According to news reporting out of Naples, Italy, by News Rx editors, research stated, “To build and validate a combined radiomics and mac hine learning (ML) approach using B-mode US and SWE images to differentiate beni gn from malignant solid breast lesions (BLs) and compare its performance with th at of an expert radiologist.Patients with at least one BI-RADS 2-6 BL who perfo rmed breast US integrated with SWE were retrospectively included.”