Pixel-based parallel algorithm for retinal vessel tree segmentation
| dc.contributor.author | Білоконний, В. Д. | uk |
| dc.contributor.author | Азаров, О. Д. | uk |
| dc.contributor.author | Павлов, С. В. | uk |
| dc.title | Pixel-based parallel algorithm for retinal vessel tree segmentation | en |
| dc.date.issued | 2020 | |
| dc.publisher | Вінницький національний технічний університет | uk |
| dc.identifier.citation | Білоконний В. Д. Pixel-based parallel algorithm for retinal vessel tree segmentation [Електронний ресурс] / В. Д. Білоконний О. Д. Азаров, С. В. Павлов // Матеріали XLIX науково-технічної конференції підрозділів ВНТУ, Вінниця, 27-28 квітня 2020 р. – Електрон. текст. дані. – 2020. – Режим доступу: https://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2020/paper/view/10393. | uk |
| dc.relation.ispartof | Матеріали XLIX науково-технічної конференції підрозділів ВНТУ, Вінниця, 27-28 квітня 2020 р. | uk |
| dc.relation.uri | https://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2020/paper/view/10393 | |
| dc.identifier.udc | 681.325.5 | |
| dc.identifier.uri | http://ir.lib.vntu.edu.ua/handle/123456789/30281 | |
| dc.description.abstract | Ідентифікація кровоносних судин сітківки дозволяє проводити ранню діагностику патологій сітківки. Розроблено безліч алгоритмів сегментації дерева судин сітківки. Деякі з цих алгоритмів засновані на нейронних мережах або інших контрольованих методах і показують високу точність, але відсутність швидкості. У той же час деякі види застосування можуть вимагати високої швидкості процесу сегментації і меншою мірою точності. | uk |
| dc.description.abstract | Identification of retinal blood vessels allows carrying out early diagnosis of retina. A lot of algorithms have been developed for the segmentation of the retinal vessel tree. Some of these algorithms are based on neural networks or other supervised techniques and show high accuracy but lack of speed. At the same time, some applications may require high speed of segmentation process and less level of accuracy. | en |
| dc.subject | нейронні мережі | uk |
| dc.subject | сітківка | uk |
| dc.subject | вхідне зображення | uk |
| dc.subject | згортка зображення | uk |
| dc.subject | паралельний алгоритм | uk |
| dc.subject | neural networks | en |
| dc.subject | retina | en |
| dc.subject | input image | en |
| dc.subject | image convolution | en |
| dc.subject | parallel algorithm | en |
| dc.type | Thesis | |
| dc.language.iso | en | en |
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| dc.date.accessioned | 2020-08-12T09:50:22Z | |
| dc.date.available | 2020-08-12T09:50:22Z |
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