{
  "id": 9256654,
  "title": "FleXray: Universal Clinical X-ray Segmentation",
  "url": "https://urgent.news/2026/09/22/flexray-universal-clinical-x-ray-segmentation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T17:37:55.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26756v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}