Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/31492
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nechyporenko, Alina | - |
dc.contributor.author | Frohme, Marcus | - |
dc.contributor.author | Dmytry, Sytnikov | - |
dc.contributor.author | Alekseeva, Victoriia | - |
dc.contributor.author | Gargin, Vitaliy | - |
dc.contributor.author | Gubarenko, Maryna | - |
dc.date.accessioned | 2022-12-13T19:03:26Z | - |
dc.date.available | 2022-12-13T19:03:26Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Deep learning based image segmentation for detection of odontogenic maxillary sinusitis [Electronic resource] : presentation 41st International Conference on Electronics and Nanotechnology (ELNANO) : [presentation PowerPoint] / A. Nechyporenko, M. Frohme, D. Sytnikov, V. Alekseeva, V. Gargin, M. Gubarenko. – Electronic data (11 slides). – Kyiv, Ukraine, 2022. | en_US |
dc.identifier.uri | http://repo.knmu.edu.ua/handle/123456789/31492 | - |
dc.language.iso | en | en_US |
dc.title | Deep learning based image segmentation for detection of odontogenic maxillary sinusitis | en_US |
dc.type | Presentation | en_US |
Appears in Collections: | Наукові праці. Кафедра оториноларингології |
Files in This Item:
File | Description | Size | Format | |
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39IEEE-ELNANO (1).pptx | 1,4 MB | Microsoft Powerpoint XML | View/Open |
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