Performance of the Deep Neural Network Ciloctunet, Integrated with Open-Source Software for Ciliary Muscle Segmentation in Anterior Segment OCT Images, Is on Par with Experienced Examiners

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dc.contributor.author Strasser, Torsten
dc.contributor.author Wagner, Sandra
dc.date.accessioned 2023-05-15T07:15:59Z
dc.date.available 2023-05-15T07:15:59Z
dc.date.issued 2022
dc.identifier.issn 2075-4418
dc.identifier.uri http://hdl.handle.net/10900/141037
dc.language.iso en de_DE
dc.publisher Mdpi de_DE
dc.relation.uri http://dx.doi.org/10.3390/diagnostics12123055 de_DE
dc.subject.ddc 610 de_DE
dc.title Performance of the Deep Neural Network Ciloctunet, Integrated with Open-Source Software for Ciliary Muscle Segmentation in Anterior Segment OCT Images, Is on Par with Experienced Examiners de_DE
dc.type Article de_DE
utue.quellen.id 20230202000000_00313
utue.personen.roh Strasser, Torsten
utue.personen.roh Wagner, Sandra
dcterms.isPartOf.ZSTitelID Diagnostics de_DE
dcterms.isPartOf.ZS-Issue Article 3055 de_DE
dcterms.isPartOf.ZS-Volume 12 (12) de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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