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

Machine Learning from Digital Images in Dermatology (17) Artificial Intelligence (2144) Machine Learning (2083) Decision Support for Health Professionals (1548) Clinical Information and Decision Making (1927) Skin Cancer and Melanoma Prevention (123)

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 (2) Tweetations (3) Metrics

Journals

  1. Tjiu J, Lu C. Equity and Generalizability of Artificial Intelligence for Skin-Lesion Diagnosis Using Clinical, Dermoscopic, and Smartphone Images: A Systematic Review and Meta-Analysis. Medicina 2025;61(12):2186 View

Books/Policy Documents

  1. Ștefănigă S, Cernăianu I, Ivașcu T. Advances in Digital Health and Medical Bioengineering. View