Artificial intelligence recognition of cutaneous chronic graft-versus-host disease by a deep learning neural network.

Journal: British journal of haematology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Andrew McNeil
    Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Kelsey Parks
    Dermatology Service and Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
  • Xiaoqi Liu
    Department of Mathematics, Northeast Forestry University, Harbin 150040, China.
  • Inga Saknite
    Vanderbilt Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Fuyao Chen
    Dermatology Service and Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
  • Tahsin Reasat
    Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Austin Cronin
    Dermatology Service and Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
  • Lee Wheless
    Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Benoit M Dawant
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
  • Eric R Tkaczyk
    Dermatology Service and Research Service, Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville.