A Semi-Supervised 3D CCTA Coronary Artery Segmentation Approach Based on Perturbation Consistency and Discrepancy-Aware Weighting
Although coronary CT angiography (CCTA) is widely utilized for diagnosing coronary artery disease (CAD), automated CCTA image segmentation is frequently hindered by sparse annotations, pseudo-label noise, and under-delineated fine branches. To mitigate these issues, we present PCDW-Net, a semi-supervised segmentation f...