{
  "id": 19576672,
  "title": "Multi-Structure Segmentation of Type B Aortic Dissection from CT Images with U-Net",
  "url": "https://urgent.news/2026/11/11/multi-structure-segmentation-of-type-b-aortic-dissection-from-ct",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-11T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.08.765191v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Type B aortic dissection (TBAD) is a life-threatening condition in which a tear in the intimal layer separates the aortic wall into a true and a false lumen. Assessment of the lumen, the intimal flap, and false-lumen thrombosis from CT images is important for risk analysis and treatment planning. This work applied U-Net-based deep neural networks to the automatic segmentation of these structures…",
  "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."
}