Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon

dc.contributor.author	Adegnika, Ayôla Akim
dc.date.accessioned	2024-07-16T09:01:41Z
dc.date.available	2024-07-16T09:01:41Z
dc.date.issued	2024
dc.identifier.issn	1935-2735
dc.identifier.uri	http://hdl.handle.net/10900/155077
dc.language.iso	en	de_DE
dc.publisher	San Francisco : Public Library Science	de_DE
dc.relation.uri	http://dx.doi.org/10.1371/journal.pntd.0011967	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	610	de_DE
dc.title	Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240422000000_00715
utue.personen.roh	Meulah, Brice
utue.personen.roh	Oyibo, Prosper
utue.personen.roh	Hoekstra, Pytsje T.
utue.personen.roh	Moure, Paul Alvyn Nguema
utue.personen.roh	Maloum, Moustapha Nzamba
utue.personen.roh	Laclong-Lontchi, Romeo Aime
utue.personen.roh	Honkpehedji, Yabo Josiane
utue.personen.roh	Bengtson, Michel
utue.personen.roh	Hokke, Cornelis
utue.personen.roh	Corstjens, Paul L. A. M.
utue.personen.roh	Agbana, Temitope
utue.personen.roh	Diehl, Jan Carel
utue.personen.roh	Adegnika, Ayola Akim
utue.personen.roh	van Lieshout, Lisette
dcterms.isPartOf.ZSTitelID	Plos Neglected Tropical Diseases	de_DE
dcterms.isPartOf.ZS-Issue	Article e0011967	de_DE
dcterms.isPartOf.ZS-Volume	18 (2)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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