Uncertainty maps from an ensemble of stochastic segmentation networks detect missed white matter lesions and improve automated Fazekas severity classification and segmentation quality control.
V olume Only: Only the estimated volume from the SEnt model is used as a feature
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Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification
Uncertainty maps from an ensemble of stochastic segmentation networks detect missed white matter lesions and improve automated Fazekas severity classification and segmentation quality control.