首页|Guangxi Medical University Cancer Hospital Reports Findings in Support Vector Ma chines (Performance evaluation of ML models for preoperative prediction of HER2- low BC based on CE-CBBCT radiomic features: A prospective study)
Guangxi Medical University Cancer Hospital Reports Findings in Support Vector Ma chines (Performance evaluation of ML models for preoperative prediction of HER2- low BC based on CE-CBBCT radiomic features: A prospective study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Sup port Vector Machines is the subject of a report. According to news reporting ori ginating in Guangxi, People’s Republic of China, by NewsRx journalists, research stated, “To explore the value of machine learning (ML) models based on contrast -enhanced cone-beam breast computed tomography (CE-CBBCT) radiomics features for the preoperative prediction of human epidermal growth factor receptor 2 (HER2)- low expression breast cancer (BC). Fiftysix patients with HER2-negative invasiv e BC who underwent preoperative CE-CBBCT were prospectively analyzed.”
GuangxiPeople’s Republic of ChinaAsi aMachine LearningSupport Vector Machines
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