Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey.

Publication Year: 2022

DOI:
10.1186/s40662-022-00277-3

PMCID:
PMC8808986

PMID:
35109930

Journal Information

Full Title: Eye Vis (Lond)

Abbreviation: Eye Vis (Lond)

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Ophthalmology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateNot applicable. Ethical approval was not sought, as the study was based entirely on previously published data. All procedures were performed in accordance with the ethical standards of the 1964 Helsinki Declaration and its amendments. Consent for publicationNot applicable. Competing interestsJin Kuk Kim and Ik Hee Ryu are executives of VISUWORKS, Inc., which is a Korean Artificial Intelligence company providing medical machine learning solutions. Jin Kuk Kim is also an executive of the Korea Intelligent Medical Industry Association. They received salaries or stocks as part of the standard compensation package. The remaining authors declare no conflict of interest. Competing interests Jin Kuk Kim and Ik Hee Ryu are executives of VISUWORKS, Inc., which is a Korean Artificial Intelligence company providing medical machine learning solutions. Jin Kuk Kim is also an executive of the Korea Intelligent Medical Industry Association. They received salaries or stocks as part of the standard compensation package. The remaining authors declare no conflict of interest."

Evidence found in paper:

"Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025