Multivariate Machine Learning Models for Prediction of Pathologic Response to Neoadjuvant Therapy in Breast Cancer using MRI features: A Study Using an Independent Validation Set

Lignende værker

• A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models
  af: Saha, Ashirbani, et al.
  Udgivet: (2018)
• Association of Distant Recurrence-Free Survival with Algorithmically Extracted MRI Characteristics in Breast Cancer
  af: Mazurowski, Maciej A., et al.
  Udgivet: (2019)
• Algorithms for Prediction of the Oncotype DX Recurrence Score using Clinicopathologic Data: A Review and Comparison using an Independent Dataset
  af: Harowicz, Michael R., et al.
  Udgivet: (2017)
• Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors
  af: Saha, Ashirbani, et al.
  Udgivet: (2018)
• Can Algorithmically Assessed MRI Features Predict Which Patients With a Preoperative Diagnosis of Ductal Carcinoma In Situ Are Upstaged to Invasive Breast Cancer?
  af: Harowicz, Michael, et al.
  Udgivet: (2017)