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K. Saka

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Open access Sep 2026

A Hybrid Radiomics–Deep Learning Feature-Fusion Framework with Explainable Artificial Intelligence for Accurate Liver Cancer Prediction from Computed Tomography Images

Hepatocellular Carcinoma (HCC) is one of the common cancer-related mortality causes across the world. The black-box nature (semantic opacity) of current deep learning models used in computer-aided detection hinders clinical management of HCC, particularly the lack of early and interpretable diagnosis. In this work, a h...

Murtala Sahabo Abubakar, K. Saka, Morufat D. Gbolagade et al. · 0 citations
Open access Jul 2026

Phishing Email Detection using a Hybrid CNN-MLP Deep Learning Framework

It is demonstrated that integrating CNN-based feature extraction with MLP-based classification provides an effective, reliable, and scalable solution for phishing email detection, contributing to improved cybersecurity protection against evolving phishing attacks.

M. Yuguda, Kamil K. Saka, Y. H. Usman · 0 citations

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