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Institut Strauss, ICube
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BraTS-GoAT evaluates tumor segmentation across heterogeneous populations using a conventional 3D nnU-Net on 1,351 labeled cases using five-fold cross-validation and 1,000 epochs per fold and applied test-time mirroring.
Calibration methods that ignore logit shifts can lead to misleading confidence estimates, but translation-invariant calibrators provide a solution that enhances reliability in semantic segmentation.
