{
  "id": 14427278,
  "title": "LuTuFlow: a deep learning-based pipeline for quantitative characterization of mouse lung tumors in CT imaging",
  "url": "https://urgent.news/2026/10/14/lutuflow-a-deep-learning-based-pipeline-for-quantitative",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-10-14T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.12.758509v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Computed tomography (CT) is a widely used, non-invasive imaging tool to monitor tumor growth. Tumor identification and volumetric quantification are crucial for assessing tumor burden, whereas tracking individual tumors by aligning scans from multiple time points reveals disease progression. However, these processes remain largely dependent on manual analysis, limiting the accuracy,…",
  "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."
}