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A novel deep shape regression model reveals covariate effects in hippocampal outlines that align with established neuroimaging findings, showcasing its potential in health applications.
Simply averaging pixel-level uncertainty in image segmentation throws away crucial spatial information, leading to worse performance on downstream tasks like detecting when your model is likely to fail.
