Robustness testing is a method used to evaluate the reliability and stability of algorithms and systems under varying conditions and unexpected inputs. It ensures that the performance of image segmentation and registration algorithms remains consistent, even in the presence of noise, variations in imaging modalities, or changes in anatomical structures. This testing is crucial for developing medical imaging technologies that can handle diverse scenarios encountered in real-world applications.
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