Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Más filtros










Base de datos
Intervalo de año de publicación
1.
Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.
Stampe, Martin; Christiansen, Ida Skovgaard; Backer, Vibeke; Aanæs, Kasper; Homøe, Anne-Sophie; Tidemandsen, Jens; Nielsen, Emilie Neumann; Rasmussen, Sigrid Louise Hjorth; Hartvig, Rasmus; Kiss, Katalin; Jensen, Thomas Hartvig Lindkær.
Int Forum Allergy Rhinol ; 2024 Sep 20.
Artículo en Inglés | MEDLINE | ID: mdl-39302216

RESUMEN

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.

ENVIAR RESULTADO:
Email
Exportar
Imprimir
RSS
XML
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA