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

Machine Learning from Digital Images in Dermatology (24) Clinical Information and Decision Making (3730) Decision Support for Health Professionals (2249) Machine Learning (3199) Skin Cancer and Melanoma Prevention (167) Artificial Intelligence (4812)

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 .
Dermatologist examines child's mole with dermatoscope, laptop shows magnified image

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 (4) 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
  2. Kazemian P, Korth H, Malhotra M. Verifiable Artificial Intelligence for Medical Decision Making with an Application to Skin Cancer Diagnosis. SSRN Electronic Journal 2025 View
  3. Perez D, Mohseni Y, Hartman R. Artificial Intelligence and Teledermatology in Melanoma Detection: Diagnostic Performance and Implementation Challenges. Current Dermatology Reports 2026;15(1) View

Books/Policy Documents

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