Vision-Language Models (VLMs) excel at 2D recognition but often fail to maintain consistent 3D relations across sparse viewpoints, leading to spatial hallucinations under occlusion and perspective changes. Existing methods commonly fuse all frames with dense geometry, incurring substantial computation and context overh...
Jun-Jie Wang, Zhi-Hao Yuan, Yun-Han Tang et al.· 0 citations
Three generative vision-language models were evaluated on three institutional chest-radiograph corpora and six findings under two elicitation protocols, comprising more than 345,000 finding-level predictions, and estimated finding-by-direction reference agreement at a receiving institution from a small budget of local...
Peng-Yang Yu, Yio Wang, Zhong-Ping Dong et al.· 0 citations
This constitutes the first systematic review to formally analyze the gradient-level conflict between collaboration fairness and group fairness in federated medical imaging, while also providing a structured causal analysis of equipment–demographic confounding, offering both a critical synthesis and actionable direction...
Pengyang Yu, Zhongping Dong, S. Dhelim et al.· Artificial Intelligence Revi...· 0 citations
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