A Cascaded Deep Learning Framework for Robust Liver CT Segmentation Using ROI Refinement and Patient-Level Cross-Validation
A failure-aware cascaded deep learning framework for automated liver CT segmentation using the publicly available HCC-TACE-Seg dataset is presented and indicates that cascaded localisation and region-of-interest refinement can provide robust liver segmentation while reducing background interference and supporting uncer...