AIBullisharXiv – CS AI · 7h ago6/10
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Pre-Deployment Robustness Stress Testing for CT Segmentation Systems Using Clinically Motivated Multi-Corruption Augmentation
Researchers introduce RAMP, a robustness-oriented augmentation framework that improves CT segmentation systems' performance under real-world clinical imaging degradation. The method reduces the clean-to-corrupted performance gap by up to 76% while maintaining strong segmentation accuracy on corrupted medical images, advancing AI reliability in clinical deployment.