Lu Bai

Accurate delineation of the esophageal clinical target volume (CTV) is challenging due to extended longitudinal coverage and substantial slice-wise shape variation. Existing deep learning methods typically require extensive manual revision. Interactive segmen...

This study proposed the residual dynamic transformer-nnU-Net (RDT-nnU-Net) for automated delineation of esophageal cancer and adjacent organs at risk (OARs) in radiotherapy, aiming to improve accuracy, coverage, and adaptability across radiotherapy strategies.