Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Journal: Journal of the American Academy of Dermatology
Published Date: Mar 1, 2020

Abstract

BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.

Authors

  • Michael A Marchetti
    Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: marchetm@mskcc.org.
  • Konstantinos Liopyris
    Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Stephen W Dusza
    Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Noel C F Codella
    IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York.
  • David A Gutman
    Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA.
  • Brian Helba
    Kitware, Clifton Park, NY, USA.
  • Aadi Kalloo
    Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Allan C Halpern
    Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

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