MLCD: A Unified Software Package for Cancer Diagnosis.

Journal: JCO clinical cancer informatics
Published Date: Mar 1, 2020

Abstract

PURPOSE: Machine Learning Package for Cancer Diagnosis (MLCD) is the result of a National Institutes of Health/National Cancer Institute (NIH/NCI)-sponsored project for developing a unified software package from state-of-the-art breast cancer biopsy diagnosis and machine learning algorithms that can improve the quality of both clinical practice and ongoing research.

Authors

  • Wenjun Wu
    Department of Medical Education and Biomedical Informatics, University of Washington, Seattle, WA.
  • Beibin Li
    Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA.
  • Ezgi Mercan
    Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle.
  • Sachin Mehta
    Department of Electrical and Computer Engineering, University of Washington, Seattle.
  • Jamen Bartlett
    University of Vermont Medical Center, Burlington.
  • Donald L Weaver
    Department of Pathology, University of Vermont, Burlington, VT, USA.
  • Joann G Elmore
    Department of Medicine, University of Washington School of Medicine, Seattle.
  • Linda G Shapiro
    Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle.

Keywords

External Resources

Popular Topics
Recent Journals