Boundary-aware multi-scale residual learning with hybrid radiomic–deep fusion for lung tumor segmentation and classification
Accurate lung tumor segmentation and classification from computed tomography (CT) images remain challenging because of heterogeneous tumor appearance, indistinct boundaries, and inter-class similarity. This study presents BAMR-HF, an integrated framework combining boundary-aware segmentation, hybrid radiomic–deep featu...