Automatic Couinaud segmentation using AI and pictorial representation based landmarking

This study presents a deep learning framework for accurate, personalized Couinaud liver segment localization using MRI data. It outperforms existing methods in landmark placement and segment volume estimation, is explainable, adaptable across imaging types, and scalable, potentially improving liver surgery planning and clinical workflow efficiency