SOURCE-LINKED INTELLIGENCE
FleXray: Universal Clinical X-ray Segmentation
X-ray is medicine's most widely used imaging modality, yet remains among its least quantitative. Unlike volumetric modalities like CT or MRI, X-ray collapses 3D anatomy into a 2D projection, causing structures to overlap and anatomical boundaries to be ambiguous, even to experts. As a result, labeling X-ray databases for training general-purpose segmentation systems is impractical, leaving morphometric and functional X-ray analysis confined to narrow anatomical regions and applications. To this end, we present FleXray, a generalist model for anatomical segmentation across the entire body in cl
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T17:37:55.000Z
First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.