AI RESEARCH
DeferredSeg: A Multi-Expert Deferral Framework for Trustworthy Medical Image Segmentation
arXiv CS.CV
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ArXi:2604.12411v1 Announce Type: new Segmentation models based on deep neural networks nstrate strong generalization for medical image segmentation. However, they often exhibit overconfidence or underconfidence, leading to unreliable confidence scores for segmentation masks, especially in ambiguous regions. This undermines the trustworthiness required for clinical deployment.