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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorJankevičiūtė, Rūta
dc.contributor.authorAbromavičius, Vytautas
dc.date.accessioned2026-01-05T14:19:45Z
dc.date.available2026-01-05T14:19:45Z
dc.date.issued2024
dc.identifier.isbn9798350352429en_US
dc.identifier.issn2831-5634en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159664
dc.description.abstractVision transformers (ViTs) have begun to be adopted in medical imaging analysis. However, despite their success in other areas of computer vision, ViTs are still largely unexplored in this specific medical imaging task. In this preliminary study, we aim to assess the performance of the ViT in the detection of diabetic retinal retinopathy. In addition, we seek to identify potential avenues for future research and provide insight into the unique challenges and advantages associated with the use of VITs in the context of the identification of diabetes retinal diseases.en_US
dc.format.extent4 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159404en_US
dc.source.urihttps://ieeexplore.ieee.org/document/10542586en_US
dc.subjectartificial intelligenceen_US
dc.subjectdiabetic retinopathyen_US
dc.subjectmachine learningen_US
dc.subjectmedical image classificationen_US
dc.subjectvision transformersen_US
dc.titleExploring the Effectiveness of Vision Transformers in Diabetic Retinopathy Identification via Retinal Imagingen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2024-06-05
dcterms.references16en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronicsen_US
dc.contributor.departmentElektroninių sistemų katedra / Department of Electronic Systemsen_US
dcterms.sourcetitle2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9798350352412en_US
dc.identifier.eissn2690-8506en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream61684.2024.10542586en_US


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