Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.

@article{Margolies2016BreastII,
  title={Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.},
  author={Laurie R. Margolies and Gaurav Pandey and Eliot R Horowitz and David S. Mendelson},
  journal={AJR. American journal of roentgenology},
  year={2016},
  volume={206 2},
  pages={
          259-64
        }
}
OBJECTIVE The purpose of this article is to describe structured reporting and the development of large databases for use in data mining in breast imaging. CONCLUSION The results of millions of breast imaging examinations are reported with structured tools based on the BI-RADS lexicon. Much of these data are stored in accessible media. Robust computing power creates great opportunity for data scientists and breast imagers to collaborate to improve breast cancer detection and optimize screening… 

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