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

Digital Health Reviews (1469) Machine Learning (1679) Imaging Informatics (223) Ophthalmology (56) Artificial Intelligence (1658) Computer-Aided Diagnosis (173)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27414, first published .
Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis

Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis

Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis

Authors of this article:

Ali Q Saeed1, 2 Author Orcid Image ;   Siti Norul Huda Sheikh Abdullah1 Author Orcid Image ;   Jemaima Che-Hamzah3 Author Orcid Image ;   Ahmad Tarmizi Abdul Ghani1 Author Orcid Image
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