On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network

Marcello Di Giammarco, Marcello Di Giammarco, Antonella Santone, Mario Cesarelli, Fabio Martinelli, Francesco Mercaldo, Francesco Mercaldo

2025

Abstract

Adversarial machine learning on medical imaging is one of the many applications for which the evaluation of Generative Adversarial Networks in the medical field has demonstrated remarkable interest. This paper proposes a method in which Convolutional neural Networks are trained and tested on the binary classification of real and fake images, generated through generative adversarial networks. In this paper, the considered experiments are on the RGB fundus retina images of the human eye. Results highlight networks with optimal performance, and completely recognize real/fake classification; however, on the other hand, other networks misclassify the images, enhancing security and reliability problems.

Paper Citation

in Harvard Style

Di Giammarco M., Santone A., Cesarelli M., Martinelli F. and Mercaldo F. (2025). On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS; ISBN 978-989-758-731-3, SciTePress, pages 611-618. DOI: 10.5220/0013228300003911

in Bibtex Style

@conference{bioinformatics25,
author={Marcello Di Giammarco and Antonella Santone and Mario Cesarelli and Fabio Martinelli and Francesco Mercaldo},
title={On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS},
year={2025},
pages={611-618},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013228300003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS
TI - On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network
SN - 978-989-758-731-3
AU - Di Giammarco M.
AU - Santone A.
AU - Cesarelli M.
AU - Martinelli F.
AU - Mercaldo F.
PY - 2025
SP - 611
EP - 618
DO - 10.5220/0013228300003911
PB - SciTePress