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

Martin Stampe; Ida Skovgaard Christiansen; Vibeke Backer; Kasper Aanæs; Anne-Sophie Homøe; Jens Tidemandsen; Emilie Neumann Nielsen; Sigrid Louise Hjorth Rasmussen; Rasmus Hartvig; Katalin Kiss; Thomas Hartvig Lindkær Jensen

doi:10.1002/alr.23454

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

Martin Stampe^*
, Ida Skovgaard Christiansen
, Vibeke Backer
, Kasper Aanæs
, Anne-Sophie Homøe
, Jens Tidemandsen
, Emilie Neumann Nielsen
, Sigrid Louise Hjorth Rasmussen
, Rasmus Hartvig
, Katalin Kiss
, Thomas Hartvig Lindkær Jensen

^*Corresponding author af dette arbejde

2 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	International forum of allergy & rhinology
Vol/bind	15
Udgave nummer	2
Sider (fra-til)	188-190
Antal sider	3
ISSN	2042-6976
DOI	https://doi.org/10.1002/alr.23454
Status	Udgivet - feb. 2025

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Stampe, M., Christiansen, I. S., Backer, V., Aanæs, K., Homøe, A.-S., Tidemandsen, J., Nielsen, E. N., Rasmussen, S. L. H., Hartvig, R., Kiss, K., & Jensen, T. H. L. (2025). Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification. International forum of allergy & rhinology, 15(2), 188-190. https://doi.org/10.1002/alr.23454

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title = "Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification",

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.",

keywords = "chronic rhinosinustis, disease severity, eosinophilic rhinitis, nasal polyposis",

author = "Martin Stampe and Christiansen, \{Ida Skovgaard\} and Vibeke Backer and Kasper Aan{\ae}s and Anne-Sophie Hom{\o}e and Jens Tidemandsen and Nielsen, \{Emilie Neumann\} and Rasmussen, \{Sigrid Louise Hjorth\} and Rasmus Hartvig and Katalin Kiss and Jensen, \{Thomas Hartvig Lindk{\ae}r\}",

note = "{\textcopyright} 2024 The Author(s). International Forum of Allergy \& Rhinology published by Wiley Periodicals LLC on behalf of American Academy of Otolaryngic Allergy and American Rhinologic Society.",

year = "2025",

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doi = "10.1002/alr.23454",

language = "English",

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pages = "188--190",

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AU - Stampe, Martin

AU - Christiansen, Ida Skovgaard

AU - Backer, Vibeke

AU - Aanæs, Kasper

AU - Homøe, Anne-Sophie

AU - Tidemandsen, Jens

AU - Nielsen, Emilie Neumann

AU - Rasmussen, Sigrid Louise Hjorth

AU - Hartvig, Rasmus

AU - Kiss, Katalin

AU - Jensen, Thomas Hartvig Lindkær

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N2 - 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.

AB - 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.

KW - chronic rhinosinustis

KW - disease severity

KW - eosinophilic rhinitis

KW - nasal polyposis

UR - https://www.scopus.com/pages/publications/85204637662

U2 - 10.1002/alr.23454

DO - 10.1002/alr.23454

M3 - Journal article

C2 - 39302216

SN - 2042-6976

VL - 15

SP - 188

EP - 190

JO - International forum of allergy & rhinology

JF - International forum of allergy & rhinology

IS - 2

ER -

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

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