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Ezzaldeen H. A. Abukhattab

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Open access Sep 2026

A3Net: A Lightweight Attention-Guided Encoder–Decoder for Multi-Class Brain Tumor Segmentation with Cross-Dataset Domain Gap Characterization

Accurate multi-class segmentation of brain tumors from T1-weighted contrast-enhanced MRI is essential for surgical planning and treatment monitoring, yet existing high-performance architectures exceed 30 M parameters, limiting deployment in resource-constrained clinical settings. This work introduces A3Net, a lightweig...

Turgay Batbat, Ezzaldeen H. A. Abukhattab · 0 citations

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