| dc.rights.license | Visos teisės saugomos / All rights reserved | en_US |
| dc.contributor.author | Jankevičiūtė, Rūta | |
| dc.contributor.author | Abromavičius, Vytautas | |
| dc.date.accessioned | 2026-01-05T14:19:45Z | |
| dc.date.available | 2026-01-05T14:19:45Z | |
| dc.date.issued | 2024 | |
| dc.identifier.isbn | 9798350352429 | en_US |
| dc.identifier.issn | 2831-5634 | en_US |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/159664 | |
| dc.description.abstract | Vision 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.extent | 4 p. | en_US |
| dc.format.medium | Tekstas / Text | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/159404 | en_US |
| dc.source.uri | https://ieeexplore.ieee.org/document/10542586 | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | diabetic retinopathy | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | medical image classification | en_US |
| dc.subject | vision transformers | en_US |
| dc.title | Exploring the Effectiveness of Vision Transformers in Diabetic Retinopathy Identification via Retinal Imaging | en_US |
| dc.type | Konferencijos publikacija / Conference paper | en_US |
| dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
| dcterms.issued | 2024-06-05 | |
| dcterms.references | 16 | en_US |
| dc.description.version | Taip / Yes | en_US |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
| dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
| dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | en_US |
| dc.contributor.department | Elektroninių sistemų katedra / Department of Electronic Systems | en_US |
| dcterms.sourcetitle | 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania | en_US |
| dc.identifier.eisbn | 9798350352412 | en_US |
| dc.identifier.eissn | 2690-8506 | en_US |
| dc.publisher.name | IEEE | en_US |
| dc.publisher.country | United States of America | en_US |
| dc.publisher.city | New York | en_US |
| dc.identifier.doi | https://doi.org/10.1109/eStream61684.2024.10542586 | en_US |