首页|Guangzhou First People’s Hospital Reports Findings in Breast Cancer (Multiparametric MRI Radiomics With Machine Learning for Differentiating HER2-Zero, -Low, and -Positive Breast Cancer: Model Development, Testing, and Interpretability Analysis)
Guangzhou First People’s Hospital Reports Findings in Breast Cancer (Multiparametric MRI Radiomics With Machine Learning for Differentiating HER2-Zero, -Low, and -Positive Breast Cancer: Model Development, Testing, and Interpretability Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Breast Cancer is the subject of a report. According to news reporting originating from Guan gzhou, People’s Republic of China, by NewsRx correspondents, research stated, “M RI radiomics has been explored for three-tiered classification of breast cancer HER2 expression (i.e., HER2-zero, HER2-low, or HER2-positive), although understa nding of how such models reach their predictions is lacking. To develop and test multiparametric MRI radiomics machine-learning models for differentiating three -tiered HER2 expression levels in patients with breast cancer, and to explain the contributions of model features through local and global interpretations using SHapley Additive exPlanation (SHAP) analysis.”
GuangzhouPeople’s Republic of ChinaAsiaBreast CancerCancerCyborgsEmerging TechnologiesHealth and MedicineMachine LearningOncologyWomen’s Health
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