<ul><li>Uncertainty quantification is crucial in image segmentation, particularly for high-stakes applications like medical imaging.</li><li>Conformal Risk Adaptation (CRA) is introduced to improve conditional risk control for segmentation tasks.</li><li>A novel framework connects conformal risk control with conformal prediction, enhancing any score function.</li><li>Calibrated Conformal Risk Adaptation (CCRA) and CCRA-S further improve conditional risk control for segmentation.</li></ul>

Conditional Conformal Risk Adaptation

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