Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging

HIGHLIGHTS

• who: Hyo-jae Lee from the Federal University Kashere, Nigeria have published the Article: Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging, in the Journal: (JOURNAL)
• what: The aim of the study was to investigate the feasibility of using a combined radiomics and machine_learning approach for differentiating upgraded DCIS from pure DCIS based on breast MR images in patients diagnosed with DCIS by CNB. This model demonstrated the highest 4-fold mean validation accuracy and AUC . . .
  

   

  

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