Author

Ebrahim Mohammed Senan

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Open access Oct 2026

Hybrid multi-CNN feature fusion based on gradient vector flow with ant colony optimization for histopathological breast cancer classification

Breast cancer is a serious disease because malignant tumors can metastasize and threaten life. This study develops a hybrid framework for eight-class subtype recognition and binary benign-versus-malignant histopathological image classification. The framework was evaluated on BreakHis histopathological images at 100×...

Abdullah Hamed Almuntashiri, Ebrahim Mohammed Senan, O. Al-Omari et al. · Scientific Reports · 0 citations

Open access Oct 2026

Interpretable water and agricultural land cover in urban landscapes using CNN–ViT framework with Grad-CAM for agricultural sustainability

Accurate land-use and land-cover classification in hyper-arid environments is challenging because several surface types can exhibit overlapping spectral and spatial characteristics in Landsat imagery. These surfaces include water, irrigated agriculture, moist soil, barren land, and built-up areas. This study proposes...

Hajar Hameed Addeen, Ebrahim Mohammed Senan, Fawaz Aklan et al. · Scientific Reports · 0 citations

Open access Sep 2026

Interpretable lung-constrained RegNetY–ViT framework for pulmonary tuberculosis classification in chest X-rays with radiological feature-guided neuro-symbolic reasoning

The proposed RegNetY–ViT hybrid framework improves TB classification performance while enhancing interpretability through lesion localization and neuro-symbolic reasoning, thereby supporting more transparent and clinically meaningful decision-making in chest X-ray analysis.

I. Ahmed, Ebrahim Mohammed Senan, Awad Alyousef et al. · Frontiers in Medicine · 0 citations