Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.

Journal: Journal of the European Academy of Dermatology and Venereology : JEADV
Published Date: Oct 8, 2019

Abstract

BACKGROUND: Machine learning algorithms achieve expert-level accuracy in skin lesion classification based on clinical images. However, it is not yet shown whether these algorithms could have high accuracy when embedded in a smartphone app, where image quality is lower and there is high variability in image taking scenarios by users. In the past, these applications were criticized due to lack of accuracy.

Authors

  • A Udrea
    Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Bucharest, Romania.
  • G D Mitra
    SkinVision BV, Amsterdam, The Netherlands.
  • D Costea
    Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Bucharest, Romania.
  • E C Noels
    Department of Dermatology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • M Wakkee
    Department of Dermatology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • D M Siegel
    State University of New York Downstate Medical Center, Brooklyn, NY, USA.
  • T M de Carvalho
    Department of Dermatology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • T E C Nijsten
    Department of Dermatology, Erasmus Medical Center, Rotterdam, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals