This paper is in the following e-collection/theme issue:

Reviews in Dermatology (33) Image Recognition and AI in Dermatology (9)

Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35497, first published .
Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation

Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation

Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation

Authors of this article:

Christine Park1 Author Orcid Image ;   Hyeon Ki Jeong1 Author Orcid Image ;   Ricardo Henao2 Author Orcid Image ;   Meenal Kheterpal1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Christine Park   1 , BA ;   Hyeon Ki Jeong   1 , PhD ;   Ricardo Henao   2 , PhD ;   Meenal Kheterpal   1 , MD

1 Department of Dermatology, Duke University Medical Center, Durham, NC, United States

2 Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States

Corresponding Author:

  • Christine Park, BA
  • Department of Dermatology
  • Duke University Medical Center
  • 40 Duke Medicine Cir.
  • Durham, NC, 27710
  • United States
  • Phone: 1 7757728063
  • Email: cp268@duke.edu