Author

Roaa Razaq

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Open access Jul 2026

Addressing Dataset Imbalance with Modified Generative Adversarial Networks

This paper introduces a modified Generative Adversarial Network (MGAN), which generates synthetic images of the minority class (128 × 128 × 3 pixels), thereby enhancing classifier resilience and surpasses conventional data balancing methods in medical imaging contexts.

Roaa Razaq, Ebtesam N. Alshemmary, Zhentai Lu · Iraqi Journal of Science · 0 citations