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Author

Khalid El Fazazy

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Open access Aug 2026

Brain Tumor Classification Using a Hybrid Learning Strategy Integrating GAN-Augmented Neural Networks

A hybrid framework that combines generative adversarial networks (GANs), convolutional neural networks (CNNs), and Vision Transformers (ViTs) for accurate tumor classification demonstrates the potential of advanced DL models to strengthen MRI-based tumor diagnosis and support more reliable clinical decision-making.

Iliass Zine-dine, J. Riffi, Khalid El Fazazy et al. · 0 citations

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