AI RESEARCH
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
arXiv CS.LG
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ArXi:2604.15950v1 Announce Type: new Pancreatic ductal adenocarcinoma (PDAC) segmentation on contrast-enhanced CT is inherently ambiguous: inter-rater disagreement among experts reflects genuine uncertainty rather than annotation noise. Standard deep learning approaches assume a single ground truth, producing probabilistic outputs that can be poorly calibrated and difficult to interpret under such ambiguity.