Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations

Lignende værker

• Using convolutional neural networks for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk
  af: Gastounioti, Aimilia, et al.
  Udgivet: (2018)
• Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated Measures
  af: Conant, Emily F., et al.
  Udgivet: (2017)
• Incorporating Breast Anatomy in Computational Phenotyping of Mammographic Parenchymal Patterns for Breast Cancer Risk Estimation
  af: Gastounioti, Aimilia, et al.
  Udgivet: (2018)
• Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment
  af: Gastounioti, Aimilia, et al.
  Udgivet: (2016)
• Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment
  af: Kontos, Despina, et al.
  Udgivet: (2019)