Hybrid CNN-ViT with adaptive attention gate achieves 97.6% accuracy on brain tumor MRI classification, outperforming baselines.
Scalable Hybrid Deep Learning-Based Architecture for Glaucomatous and Healthy Eye Classification in Retinal Fundus Images
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CNN-ViT Fusion with Adaptive Attention Gate for Brain Tumor MRI Classification: A Hybrid Deep Learning Model
Hybrid CNN-ViT with adaptive attention gate achieves 97.6% accuracy on brain tumor MRI classification, outperforming baselines.