Non-invasive diagnosis of melanoma using machine learning and reflectance confocal microscopy.

Abstract

Authors

• Jonathan Kentley
  Department of Dermatology, Chelsea and Westminster Hospital NHS Trust, London, UK; Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: j.kentley@nhs.net.
• Nicholas Kurtansky
  Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
• Manu Jain
  Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, 10021.
• Miguel Cordova
  Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
• Jochen Weber
  Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
• Ucalene Harris
  Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
• Anabel Alfonso
  Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
• Allan Halpern
  Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.
• Veronica Rotemberg
  Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.
• Milind Rajadhyaksha
  Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
• Kivanc Kose
  Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: kosek@mskcc.org.

Keywords

No keywords available for this article.

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