Publication:
Utilization of automated deep learning approach toward detection of ocular toxoplasmosis using fundus photographs

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dc.conference.locationNew Orleans, LA
dc.conference.organizerAssoc Res Vision & Ophthalmol
dc.contributor.coauthorHassan, Muhammad
dc.contributor.coauthorSoledad Ormaechea, Maria
dc.contributor.coauthorHalim, Muhammad Sohail
dc.contributor.coauthorUludag, Gunay
dc.contributor.coauthorSchlaen, Ariel
dc.contributor.coauthorColombero, Daniel
dc.contributor.coauthorOzdemir, Huseyin
dc.contributor.coauthorRudzinski, Marcelo
dc.contributor.coauthorSubramaniam, Mahadevan
dc.contributor.coauthorOzdal, Pinar
dc.contributor.coauthorChundi, Parvathi
dc.contributor.coauthorNguyen, Quan Dong
dc.contributor.departmentSchool of Medicine
dc.contributor.facultymemberYes
dc.contributor.kuauthorHasanreisoğlu, Murat
dc.contributor.kuauthorKesim, Cem
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2024-12-29T09:38:12Z
dc.date.issued2023
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.openaccessN/A
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileQ1
dc.identifier.eissn1552-5783
dc.identifier.embargoN/A
dc.identifier.issn0146-0404
dc.identifier.issue8
dc.identifier.urihttps://hdl.handle.net/20.500.14288/22587
dc.identifier.volume64
dc.identifier.wos001053758303033
dc.keywordsOphthalmology
dc.language.isoeng
dc.publisherThe Association for Research in Vision and Ophthalmology
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.conferenceAnnual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO)
dc.relation.ispartofInvestigative Ophthalmology & Visual Science
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectMedicine
dc.titleUtilization of automated deep learning approach toward detection of ocular toxoplasmosis using fundus photographs
dc.typeMeeting Abstract
dspace.entity.typePublication
local.conference.dateAPR 23-27, 2023
local.contributor.kuauthorKesim, Cem
local.contributor.kuauthorHasanreisoğlu, Murat
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