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

Machine Learning from Digital Images in Dermatology (8) Artificial Intelligence (1216) Machine Learning (1401) Decision Support for Health Professionals (1147) Clinical Information and Decision Making (1340) Skin Cancer and Melanoma Prevention (110)

Published on in Vol 5, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39113, first published .
Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence

Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence

Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence

Authors of this article:

Xinyuan Zhang1 Author Orcid Image ;   Ziqian Xie1 Author Orcid Image ;   Yang Xiang1 Author Orcid Image ;   Imran Baig2 Author Orcid Image ;   Mena Kozman2 Author Orcid Image ;   Carly Stender2 Author Orcid Image ;   Luca Giancardo1 Author Orcid Image ;   Cui Tao1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Xinyuan Zhang   1 , PhD ;   Ziqian Xie   1 , PhD ;   Yang Xiang   1 , PhD ;   Imran Baig   2 , BSc ;   Mena Kozman   2 , BSc ;   Carly Stender   2 , BSc ;   Luca Giancardo   1 , PhD ;   Cui Tao   1 , PhD

1 School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

2 McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States

Corresponding Author:

  • Cui Tao, PhD
  • School of Biomedical Informatics
  • The University of Texas Health Science Center at Houston
  • 7000 Fannin St
  • Suite 600
  • Houston, TX, 77030
  • United States
  • Phone: 1 7135003981
  • Email: cui.tao@uth.tmc.edu