| DC Field | Value | Language |
|---|
| dc.contributor.author | Chernomorets, D. A. | - |
| dc.contributor.author | Mikhelev, V. M. | - |
| dc.contributor.author | Chernomorets, A. A. | - |
| dc.contributor.author | Batishchev, D. S. | - |
| dc.contributor.author | Bolgova, E. V. | - |
| dc.date.accessioned | 2020-06-07T20:46:35Z | - |
| dc.date.available | 2020-06-07T20:46:35Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Analysis of thick and thin vessel pixel clustering for retinal blood vessel image segmentation / D. A. Chernomorets, V. M. Mikhelev, A. A. Chernomorets [et al.] // Drug Invention Today. - 2018. - Vol.10, N7. - P. 1106-1111. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/31597 | - |
| dc.description.abstract | In this work, we revealed that digital image processing is an actual topic at present and it is widely used in various fields of medicine, including diagnosis of the eye fundus. An analysis of the dependence of the blood vessel segmentation results on the image of the eye fundus from various partitions to pixel classes corresponding to thick and thin vessels obtained by k-means clustering was made | ru |
| dc.language.iso | en | ru |
| dc.subject | medicine | ru |
| dc.subject | clustering | ru |
| dc.subject | DRIVE database | ru |
| dc.subject | eye fundus | ru |
| dc.subject | k-means method | ru |
| dc.subject | retinal blood vessels | ru |
| dc.subject | segmentation | ru |
| dc.title | Analysis of thick and thin vessel pixel clustering for retinal blood vessel image segmentation | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
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