U. Shiha

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...