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http://dspace.dgma.donetsk.ua:8080/jspui/handle/DSEA/757Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Vasylieva, L. | - |
| dc.contributor.author | Tarasov, O. | - |
| dc.date.accessioned | 2021-01-03T18:51:47Z | - |
| dc.date.available | 2021-01-03T18:51:47Z | - |
| dc.date.issued | 2020-11 | - |
| dc.identifier.citation | L. Vasylieva, O. Tarasov. Automation of the process of recognition of graphic objects in medical images // ІІІ Міжнародна науково-практична конференція «Інформаційні системи та технології в медицині» (IСM–2020) : зб. наук. пр. – Харків : Нац. аерокосм. ун-т ім. М. Є. Жуковського «Харків. авіац. ін-т», 2020. – C. 63-64. | ru_RU |
| dc.identifier.isbn | 978-966-662-772-1 | - |
| dc.identifier.uri | http://dspace.dgma.donetsk.ua:8080/jspui/handle/DSEA/757 | - |
| dc.description | "The European Commission's support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein." | ru_RU |
| dc.description.abstract | Object-oriented software has been developed that automates the stages of image processing. The end result of the analysis is highlighted in the image areas with concave contours and certain quantitative characteristics of their shape. | ru_RU |
| dc.language.iso | en_US | ru_RU |
| dc.publisher | Національний аерокосмічний університет ім. М. Є. Жуковського "Харківський авіаційний інститут" | ru_RU |
| dc.subject | digital image processing | ru_RU |
| dc.subject | metallographic images | ru_RU |
| dc.subject | processing automation | ru_RU |
| dc.title | Automation of the process of recognition of graphic objects in medical images | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | Публікації, статті | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| L. Vasylieva, O. Tarasov. Automation of the process.pdf | 207.46 kB | Adobe PDF | View/Open |
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