{
  "id": 4544325,
  "title": "Anatomy-Aware Promptable Segmentation with Online Interactive Training for AUTOPET V",
  "url": "https://urgent.news/2026/08/28/anatomy-aware-promptable-segmentation-with-online-interactive",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T15:49:58.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.28461v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We present an anatomy-aware, promptable model for whole-body lesion segmentation in FDG and PSMA PET/CT, developed for the AUTOPET V challenge. The proposed method is built as family of nnU-Net-based models and trained in two stages: i) a pre-training stage that produces a strong initial segmentation, and ii) an online interactive stage that learns to exploit scribble prompts, refining the…",
  "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."
}