Evaluation of Patient-Specific Autosegmentation Via Intentional Overfitting: Assessing Lightweight Architectures for Accelerated Online Workflow In Mrgart for Prostate Cancer
Deep learning-based organ contouring is essential for optimizing the MR-guided adaptive radiotherapy (MRgART) workflow. However, online contouring remains challenging because of interfractional anatomical variations. This study demonstrated the effectiveness...
Poster Program · Therapy Physics