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Open access Sep 2026

A novel deep learning-based approach for liver segmentation from 3D CT images using probabilistic shape guidance

Accurate liver segmentation is essential for computer-aided diagnosis (CAD) systems, yet it remains challenging due to anatomical variability, indistinct organ boundaries, and tissue intensity variations in both normal and pathological cases. To address these challenges, a deep learning-based framework is proposed...

Ahmed Semida, A. Sharafeldeen, Hanan M. Amer et al. · 0 citations
Review Open access 2026

Comparative Evaluation of AI-Based and Non-AI Genomic Biomarkers for Predicting Lung Cancer Treatment Response: A Systematic Review

: Objectives: Lung cancer remains the leading cause of cancer-related mortality worldwide, and treatment response varies substantially across patients. Conventional genomic biomarkers such as EGFR, PD-L1, and tumor mutational burden (TMB) are widely used in precision oncology but have important limitations. This system...

Farzana Siddique, M. Shehata, M. Ghazal et al. · 0 citations

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