Generative Adversarial Networks for Anonymous Acneic Face Dataset Generation
April 2024
in “
PLoS ONE
”
Studysummary In this study, researchers developed a method to create a synthetic dataset of facial acne images using generative techniques, achieving 97.6% classification accuracy with InceptionResNetv2, which helps overcome privacy concerns in biomedical applications by using anonymized data.
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