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Author

R. Ranjbarzadeh

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Open access Aug 2026

EBTAG: explainable brain tumor segmentation with EfficientNetV2, attention mechanism, and Grad-CAM in clinical and public datasets

A novel brain tumor segmentation method that combines a two-path UNet architecture with an upgraded EfficientNetV2 model due to an attention mechanism is provided, which handles 3D MRI data efficiently and increases segmentation accuracy.

R. Ranjbarzadeh, A. Keleş, Martin Crane et al. · 4 citations

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