Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.

Journal: International forum of allergy & rhinology
PMID: 39302216

Abstract

Eosinophilic granulocytes have characteristic morphological features. This makes them prime candidates for utilization of a single cell binary classification network. Single cell binary classification networks can reliably help quantify eosinophils in nasal polyps.

Authors

  • Martin Stampe
    Department of Pathology, Rigshospitalet, Copenhagen, Denmark.
  • Ida Skovgaard Christiansen
    Department of Pathology, Rigshospitalet, Copenhagen, Denmark.
  • Vibeke Backer
  • Kasper Aanæs
    Department of Head and Neck Surgery, Hovedortocentret, Rigshospitalet, Copenhagen, Denmark.
  • Anne-Sophie Homøe
    Department of Head and Neck Surgery, Hovedortocentret, Rigshospitalet, Copenhagen, Denmark.
  • Jens Tidemandsen
    Department of Head and Neck Surgery, Hovedortocentret, Rigshospitalet, Copenhagen, Denmark.
  • Emilie Neumann Nielsen
    Department of Pathology, Rigshospitalet, Copenhagen, Denmark.
  • Sigrid Louise Hjorth Rasmussen
    Department of Pathology, Rigshospitalet, Copenhagen, Denmark.
  • Rasmus Hartvig
    Department of Pathology, Rigshospitalet, Copenhagen, Denmark.
  • Katalin Kiss
  • Thomas Hartvig Lindkær Jensen
    Department of Pathology, Rigshospitalet, Copenhagen, Denmark.

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