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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

In comparison to the current state-of-the-art deep learning-based segmentation models, the proposed system surpasses them, highlighting its potential and reliability in precisely segmenting liver regions in CT volumes.

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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