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Author

H. Mashagba

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Open access 2026

Deep ANN feature fusion with multi-stage data processing and visualization for enhanced breast cancer detection in ultrasound images

This paper proposes a new dynamic feature fusion technique called adaptive gated cross attention fusion (AGCAF), which utilizes a learnable gating function and two-way cross attention to dynamically weight each contribution of features from the DeIT and ViT backbones.

Suhaila Abuowaida, H. Owida, H. Mashagba et al. · 0 citations
Open access Jul 2026

TRT-GLA: Tri-Representation Transformers with Global-Local Attention for High-Fidelity Multi-Modal MRI Super-Resolution

A Tri-Representation hybrid framework for MRI SR, TRT-GLA is proposed that redefines the MRI SR task as a joint spatial–spectral–structural high-resolution image generation problem, and establishes the utility of TRT-GLA in supporting quantitative analysis through a downstream tumor segmentation experiment that is clin...

Suhaila Abuowaida, H. Owida, T. Hamadneh et al. · 0 citations
Open access Aug 2026

Artificial intelligence model: optimizing cancer risk level predictions using machine learning and deep learning approaches

The RF model’s ability to effectively estimate cancer risk levels among individuals, allowing for earlier discovery and more effective medical care is demonstrated, resulting in reliable generalization and accuracy estimates.

Areen M. Arabiat, H. Owida, Suhaila Abuowaida et al. · 0 citations

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