Transformer-Based Multi-Channel Target Decomposition for Markerless Lung Tumor Tracking
This study proposes a transformer-based deep learning framework for markerless lung tumor tracking that improves localization accuracy, robustness, and computational efficiency of real-time intrafraction motion management for seamless clinical integration.
Poster Program · Therapy Physics