Method and computer tools for identifying diabetes-induced fundus pathology
| dc.contributor.author | Pavlov, S.V. | |
| dc.contributor.author | Martianova, T.A. | |
| dc.contributor.author | Saldan, Y.R. | |
| dc.contributor.author | Saldan, Y.I. | |
| dc.contributor.author | Zagoruiko, L.V. | |
| dc.contributor.author | Pinaieva, O.Yu. | |
| dc.contributor.author | Omiotek, Z. | |
| dc.contributor.author | Dassibekov, K. | |
| dc.date.accessioned | 2020-11-06T12:37:26Z | |
| dc.date.available | 2020-11-06T12:37:26Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This work analysis the method and computer tools for recognition of diabetes-affected fundus images and offers the theoretical foundations for methods and computer aids for recognition of such images. The methods, algorithms and architecture of the software and hardware tools for fundus pathology identification have been developed. Experimental research has been conducted in the field of fundus image recognition and identification of pathology-affected areas. | en_US |
| dc.identifier.uri | https://r2.donnu.edu.ua/handle/123456789/1018 | |
| dc.language.iso | en | en_US |
| dc.title | Method and computer tools for identifying diabetes-induced fundus pathology | en_US |
| dc.type | Book chapter | en_US |
Файли
Контейнер файлів
1 - 1 з 1
Вантажиться...
- Назва:
- London_2019_Мартьянова.pdf
- Розмір:
- 3.24 MB
- Формат:
- Adobe Portable Document Format
- Опис:
Ліцензійна угода
1 - 1 з 1
Вантажиться...
- Назва:
- license.txt
- Розмір:
- 1.71 KB
- Формат:
- Item-specific license agreed upon to submission
- Опис: