Rabehe ostadhassan

Automated lung tumor segmentation using enhanced U-Net architectures: a multi-backbone comparative study for clinical applications

Lung cancer remains a leading cause of cancer-related mortality worldwide, and manual delineation of tumors on computed tomography (CT) is time-consuming and prone to inter-observer variability. This study systematically evaluates nine deep learning configurations for automated l...