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

International Forum of Allergy and Rhinology (2025) 15(2) 188-190
DOI: 10.1002/alr.23454
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Abstract

Key points: 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.

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Stampe, M., Christiansen, I. S., Backer, V., Aanæs, K., Homøe, A. S., Tidemandsen, J., … Jensen, T. H. L. (2025). Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification. International Forum of Allergy and Rhinology, 15(2), 188–190. https://doi.org/10.1002/alr.23454

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