Artificial intelligence-based digital pathology for the detection and quantification of soil-transmitted helminths eggs

Conventional microscopy of Kato-Katz (KK1.0) thick smears, the primary method for diagnosing soil-transmitted helminth (STH) infections, has limited sensitivity and is error-prone. Artificial intelligence-based digital pathology (AI-DP) may overcome the constraints of traditional microscopy-based di...

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Veröffentlicht in:	PLoS neglected tropical diseases 2024-09, Vol.18 (9), p.e0012492
Hauptverfasser:	Cure-Bolt, Nancy, Perez, Fernando, Broadfield, Lindsay A, Levecke, Bruno, Hu, Peter, Oleynick, John, Beltrán, María, Ward, Peter, Stuyver, Lieven
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Ascariasis Clinical pathology Diagnosis Helminthiasis Technology application
Online-Zugang:	Volltext
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