首页|Huazhong University of Science and Technology Reports Findings in Machine Learning (Comparison and analysis of multiple machine learning models for discriminating benign and malignant testicular lesions based on magnetic resonance imaging …)
Huazhong University of Science and Technology Reports Findings in Machine Learning (Comparison and analysis of multiple machine learning models for discriminating benign and malignant testicular lesions based on magnetic resonance imaging …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news reportingout of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Accurate identificationof testicular tumors through better lesion characterization can optimize the radical surgical procedures.Here, we compared the performance of different machine learning approaches for discriminating benigntesticular lesions from malignant ones, using a radiomics score derived from magnetic resonance imaging(MRI).”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesHealth and MedicineMachine LearningMagnetic Resonance
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