Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture.

Journal: Clinical chemistry
Published Date:

Abstract

BACKGROUND: Urine culture images collected using bacteriology automation are currently interpreted by technologists during routine standard-of-care workflows. Machine learning may be able to improve the harmonization of and assist with these interpretations.

Authors

  • David J Alouani
    Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
  • Eric M Ransom
    Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Mehul Jani
    Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
  • Carey-Ann Burnham
    Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
  • Daniel D Rhoads
    Department of Pathology, Case Western Reserve University, Cleveland, Ohio, USA daniel.rhoads@case.edu.
  • Navid Sadri
    Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA navid.sadri@uhhospitals.org.