Performance benchmarking of deep learning models for real‐time median nerve segmentation and cross‐sectional area measurement in ultrasound imaging

The developed MNSeg-Net-based clinical system represents an important step toward real-time median nerve assessment, enabling a fully automated solution for CTS diagnosis. By combining a lightweight architecture, real-time processing capability, and successful clinical deployment, it represents a substantial advancement in the CTS detection and management.