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

Digital Photography and Imaging in Dermatology (43) Imaging Informatics (302) Medical imaging (110) Artificial Intelligence (2129)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48589, first published .
Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study

Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study

Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study

Authors of this article:

Andrew J McNeil1, 2, 3 Author Orcid Image ;   Kelsey Parks2 Author Orcid Image ;   Xiaoqi Liu2, 3 Author Orcid Image ;   Bohan Jiang1, 2, 3 Author Orcid Image ;   Joseph Coco4 Author Orcid Image ;   Kira McCool5 Author Orcid Image ;   Daniel Fabbri4 Author Orcid Image ;   Erik P Duhaime5 Author Orcid Image ;   Benoit M Dawant3 Author Orcid Image ;   Eric R Tkaczyk1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Kong W, Nascimento F, Struck A, Duhaime E, Kapur S, Amorim E, Kapinos G, Rodriguez A, Thomas B, Desai M, Lee J, Westover M, Jing J. Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance. Epilepsia 2025;66(11):4366 View