Skin lesion segmentation Dice can be estimated from region-specific uncertainty via linear regression, but the reported predictive accuracy is in-sample and relies on ground-truth region masks.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning,
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Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions
Skin lesion segmentation Dice can be estimated from region-specific uncertainty via linear regression, but the reported predictive accuracy is in-sample and relies on ground-truth region masks.