TwinTrack applies post-hoc calibration to align deep learning segmentation probabilities with the empirical mean human response for explicit modeling of inter-rater disagreement.
Simple and scalable predictive uncertainty estimation using deep ensembles
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TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
TwinTrack applies post-hoc calibration to align deep learning segmentation probabilities with the empirical mean human response for explicit modeling of inter-rater disagreement.