Feature-aggregated attention U-Net for kidney and kidney tumor segmentation in computed tomography images
Accurate computed tomography (CT)-based segmentation of kidneys and renal tumors provides quantitative anatomical information that can support downstream volumetric analysis and treatment-planning workflows. This study presents FAU-Net, a Feature-Aggregated Attention U-Net that combines Cross-Channel Attention (CCA), M...