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ConRad boosts the efficiency of radiomic feature predictions by integrating segmentation boundary uncertainty, offering a game-changing approach to clinical imaging reliability.
Instead of all-or-nothing certification, CROP offers statistical guarantees on the *longest correct prefix* of a reasoning trace, enabling more effective error localization and repair.
