Cirrus: An Automated Mammography-Based Measure of Breast Cancer Risk Based on Textural Features.

Journal: JNCI cancer spectrum
Published Date:

Abstract

BACKGROUND: We applied machine learning to find a novel breast cancer predictor based on information in a mammogram.

Authors

  • Daniel F Schmidt
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Enes Makalic
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Benjamin Goudey
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Gillian S Dite
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Jennifer Stone
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Tuong L Nguyen
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • James G Dowty
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Laura Baglietto
    Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Melissa C Southey
    Department of Pathology, University of Melbourne, Carlton, Victoria, Australia.
  • Gertraud Maskarinec
    University of Hawaii Cancer Center, Honolulu, HI.
  • Graham G Giles
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • John L Hopper
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.

Keywords

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