Machine learning models for differential diagnosing HER2-low breast cancer: A radiomics approach

To develop machine learning models based on preoperative dynamic enhanced magnetic resonance imaging (DCE-MRI) radiomics and to explore their potential prognostic value in the differential diagnosis of human epidermal growth factor receptor 2 (HER2)-low from HER2-positive breast cancer (BC). A total...

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Veröffentlicht in:	Medicine (Baltimore) 2024-08, Vol.103 (33), p.e39343
Hauptverfasser:	Chen, Xianfei, Li, Minghao, Su, Danke
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Diagnosis, Differential Female Humans Machine Learning Magnetic Resonance Imaging - methods Observational Study Radiomics Receptor, ErbB-2 - analysis Receptor, ErbB-2 - metabolism Retrospective Studies ROC Curve Sensitivity and Specificity
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