Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint)
Publication
, Journal Article
Jeong, HK; Park, C; Henao, R; Kheterpal, M
December 3, 2021
Duke Scholars
Citation
APA
Chicago
ICMJE
MLA
NLM
Jeong, H. K., Park, C., Henao, R., & Kheterpal, M. (2021). Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint). https://doi.org/10.2196/preprints.35431
Jeong, Hyeon Ki, Christine Park, Ricardo Henao, and Meenal Kheterpal. “Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint),” December 3, 2021. https://doi.org/10.2196/preprints.35431.
Jeong HK, Park C, Henao R, Kheterpal M. Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint). 2021 Dec 3;
Jeong, Hyeon Ki, et al. Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint). Dec. 2021. Crossref, doi:10.2196/preprints.35431.
Jeong HK, Park C, Henao R, Kheterpal M. Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint). 2021 Dec 3;