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Jun-Jie Hu

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#machine learning Review Oct 2026

Scaling 3D Visual Grounding in Abdominal CT

Visual grounding models can enhance radiology workflows by linking report findings to image regions. This is particularly valuable for 3D CT, where findings often occupy a tiny fraction of the volume. Training 3D grounding models requires large sets of paired phrases and regions, and building such datasets is expensive...

Samuel Church, Danyal Maqbool, Joshua D. Warner et al. · 0 citations

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