Across numerical, categorical, and report-generation metrics, the proposed framework substantially improved direct frozen-VLM inference and achieved the strongest overall performance among the evaluated methods, supporting the context-fusion framework as a lightweight and effective strategy for specialist adaptation of...
Rui-Jie Yang, Yan Zhu, Pei-Yao Fu et al.· 0 citations
Across controlled and real-time clinical settings, false-positive CADe prompts frequently captured gaze, with attention persisting beyond prompt visibility, and these findings support considering prompt-related attentional burden in CADe evaluation and design.
Tengfei Luo, Yan Zhu, Pei-Yao Fu et al.· 0 citations
EndoCLIP, a colonoscopy vision-language foundation model trained on 125,756 lesion-level image-text pairs progressively recovered from 280,476 routine colonoscopy records, is developed, suggesting that recovering finding-to-frame correspondence can transform routine documentation into scalable supervision, enabling cli...
Jia Yu, Yan Zhu, Yili He et al.· arXiv.org· 0 citations
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