{
  "id": 17303956,
  "title": "Interpretable Deep Learning of Endogenous Fluorophore Concentration and Entropy for Lung Tissue Classification",
  "url": "https://urgent.news/2026/10/30/interpretable-deep-learning-of-endogenous-fluorophore-concentration",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-30T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.26.762057v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Fluorophore concentration measures and local histogram entropy describe different aspects of endogenous fluorophore maps. We investigate whether their combination improves discrimination between normal and cancerous lung tissue and which features contribute to predictions. Chemometric fluorescence microscopy (CFM) provides concentration maps of tryptophan, elastin, reduced nicotinamide adenine…",
  "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."
}