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cs.CV2026
Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty
Xiao Song, Haonan Qin, Zhaoxu Zhang +3
Large vision-language models (LVLMs) are increasingly used for clinical image understanding, yet they remain vulnerable to \emph{hallucinations}--producing textual findings or attr…
cs.CV2026
Center-Aware Detection with Swin-based Co-DETR Framework for Cervical Cytology
Yan Kong, Yuan Yin, Hongan Chen +2
Automated analysis of Pap smear images is critical for cervical cancer screening but remains challenging due to dense cell distribution and complex morphology. In this paper, we pr…