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A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies.

Chao WangAdam R BrentnallJack CuzickElaine F HarknessD Gareth EvansSusan Astley
Published in: Breast cancer research : BCR (2017)
Textural features based on digital mammograms improve risk assessment beyond volumetric percentage density. The features and risk score developed need further investigation in other settings.
Keyphrases
  • case control
  • risk assessment
  • deep learning
  • machine learning
  • heavy metals
  • high throughput
  • magnetic resonance imaging
  • magnetic resonance
  • contrast enhanced