首页|Tongji University School of Medicine Reports Findings in Breast Cancer (The Valu e of Whole-Volume Radiomics Machine Learning Model Based on Multiparametric MRI in Predicting Triple-Negative Breast Cancer)
Tongji University School of Medicine Reports Findings in Breast Cancer (The Valu e of Whole-Volume Radiomics Machine Learning Model Based on Multiparametric MRI in Predicting Triple-Negative Breast Cancer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Breast Canc er is the subject of a report. According tonews originating from Shanghai, Peop le’s Republic of China, by NewsRx correspondents, research stated,“This study a imed to investigate the value of radiomics analysis in the precise diagnosis of triple-negative breast cancer (TNBC) based on breast dynamic contrast-enhanced m agnetic resonance imaging (DCEMRI)and apparent diffusion coefficient (ADC) map s. This retrospective study included 326 patients withpathologically proven bre ast cancer (TNBC: 129, non-TNBC: 197).”
ShanghaiPeople’s Republic of ChinaAs iaBreast CancerCancerCyborgsEmerging TechnologiesHealth and MedicineMachine LearningOncologyWomen’s Health
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