Enver Alimovich Abibullaev

A MATHEMATICAL MODEL OF HYBRID CNN–GAN ARCHITECTURES FOR AUTOMATED DIAGNOSTICS UNDER DATA LIMITED CONDITIONS

The proposed approach generates additional synthetic images for each real positive example, thus compensating for class imbalance and improving classification accuracy under limited data conditions, and provides a foundation for optimizing hybrid architectures in few-shot learning scenarios.