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

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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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