Hierarchical transformers like SwinUNETR show better robustness to perturbations in a two-stage fluence map prediction pipeline for IMRT, with smooth degradation under moderate changes but sharp failures under severe ones, and SSIM fails to capture clinically relevant errors.
Fluenceformer: Transformer-driven multi-beam fluence map regression for radiotherapy planning
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Robustness of Transformer-Based Fluence Map Prediction Under Clinically Realistic Perturbations
Hierarchical transformers like SwinUNETR show better robustness to perturbations in a two-stage fluence map prediction pipeline for IMRT, with smooth degradation under moderate changes but sharp failures under severe ones, and SSIM fails to capture clinically relevant errors.