Using cluster analysis for image processing in high speed video laryngoscopy
| dc.contributor.author | Ettler, Tomáš | |
| dc.contributor.author | Nový, Pavel | |
| dc.date.accessioned | 2022-03-21T11:00:15Z | |
| dc.date.available | 2022-03-21T11:00:15Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | V práci jsou shrnuty poznatky související s problematikou detekce glottis ve videosekvencích získaných vyšetřením hlasivek vysokorychlostní videolaryngoskopií HSV. Pro detekci glottis je používána segmentační metoda shlukové analýzy, K-means, kterou je doplněna existující množina segmentačních metod, používaných v detekčních algoritmech. Jedná se o metodu, která byla testována na rozsáhlém korpusu videosekvencí HSV z klinické praxe ORL. | cs |
| dc.description.abstract-translated | This paper summarizes findings related to the problematics of glottis detection in video sequences obtained by medical examination of vocal cords by high speed videolaryngoscopy (HSV). The glottis detection is based on cluster analysis method K-means which complements the existing set of segmentation methods used in detection algorithms. This method has been tested on a large corpus of HSV sequences from clinical practice on ENT department | en |
| dc.format | 6 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | ETTLER, T. NOVÝ, P. Using cluster analysis for image processing in high speed video laryngoscopy. In 2020 Internatiomal Conference on Applied Electronics. Plzeň: ZČU v Plzni, 2020. s. 39-44. ISBN: 978-80-261-0891-7 , ISSN: 1803-7232 | cs |
| dc.identifier.document-number | 659296200009 | |
| dc.identifier.doi | 10.23919/AE49394.2020.9232826 | |
| dc.identifier.isbn | 978-80-261-0891-7 | |
| dc.identifier.issn | 1803-7232 | |
| dc.identifier.obd | 43930142 | |
| dc.identifier.uri | 2-s2.0-85096353999 | |
| dc.identifier.uri | http://hdl.handle.net/11025/47177 | |
| dc.language.iso | en | en |
| dc.project.ID | SGS-2019-018/Zpracování heterogenních dat a jejich specializované aplikace | cs |
| dc.publisher | ZČU v Plzni | cs |
| dc.relation.ispartofseries | 2020 Internatiomal Conference on Applied Electronics | en |
| dc.rights | © University of West Bohemia | en |
| dc.rights.access | openAccess | en |
| dc.subject | hlasové ústrojí | cs |
| dc.subject | glottis | cs |
| dc.subject | laryngoskopie | cs |
| dc.subject | segmentace obrazu | cs |
| dc.subject | shluková analýza | cs |
| dc.subject | K-means | cs |
| dc.subject.translated | vocal cords | en |
| dc.subject.translated | glottis | en |
| dc.subject.translated | laryngoscopy | en |
| dc.subject.translated | image segmentation | en |
| dc.subject.translated | cluster analysis | en |
| dc.subject.translated | K-means | en |
| dc.title | Using cluster analysis for image processing in high speed video laryngoscopy | en |
| dc.title.alternative | Užití shlukové analýzy pro segmentaci ve vysokorychlostní laryngoskopii | cs |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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