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

9th World Congress of Teledermatology, Imaging and AI for Skin Diseases - Abstracts (2021) (40)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35431, first published .
Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology?

Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology?

Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology?

Authors of this article:

Hyeon Ki Jeong1 Author Orcid Image ;   Christine Park2 Author Orcid Image ;   Ricardo Henao3 Author Orcid Image ;   Meenal Kheterpal1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hyeon Ki Jeong   1 , PhD ;   Christine Park   2 , BA ;   Ricardo Henao   3 , PhD ;   Meenal Kheterpal   1 , MD

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

2 Duke School of Medicine, Duke University, Durham, NC, United States

3 Duke University, Durham, NC, United States

Corresponding Author:

  • Hyeon Ki Jeong, PhD
  • Department of Dermatology
  • Duke University
  • Duke University Medical Center, DUMC 3135
  • Durham, NC, 27710
  • United States
  • Phone: 1 919-684-3432
  • Email: hyeonki.jeong@duke.edu