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Author

Zaied Alhaj

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Open access Oct 2026

TAZD-Net: zone-aware differentiable morphology for joint thyroid nodule segmentation and malignancy classification

Thyroid ultrasound is the primary imaging modality for thyroid nodule assessment, yet reliable malignancy prediction remains challenging because diagnostic reasoning depends not only on lesion appearance but also on morphology, boundary characteristics, peri-lesional transitions, and surrounding tissue context. Existin...

Zaied Alhaj · 0 citations
Open access Aug 2026

Speckle aware attention and multi scale pooling for robust breast ultrasound lesion classification across multiple benchmarks

Breast ultrasound (BUS) is widely used for lesion assessment, yet automatic benign–malignant classification remains challenging owing to speckle noise, weak boundaries, and cross-scanner heterogeneity. We propose SUA-Net, a compact framework that augments an EfficientNet-B0 backbone with three purpose-built modules: Du...

Zaied Alhaj · 0 citations

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