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Department of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, Queen Mary University of London
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Explicitly modeling annotator bias and variability can significantly enhance uncertainty calibration in medical image segmentation without sacrificing accuracy.
T2-weighted MRI alone can outperform standard T2w+DWI in prostate cancer localization, thanks to a clever training scheme that leverages DWI as a "privileged" latent modality.
