Deep learning modeling using normal mammograms for predicting breast cancer risk.

Journal: Medical physics
Published Date: Nov 19, 2019

Abstract

PURPOSE: To investigate two deep learning-based modeling schemes for predicting short-term risk of developing breast cancer using prior normal screening digital mammograms in a case-control setting.

Authors

  • Dooman Arefan
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.
  • Aly A Mohamed
    Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA.
  • Wendie A Berg
    Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA.
  • Margarita L Zuley
    Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Jules H Sumkin
    Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Shandong Wu
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States.

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