Using cluster analysis for image processing in high speed video laryngoscopy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959143" target="_blank" >RIV/49777513:23520/20:43959143 - isvavai.cz</a>
Result on the web
<a href="http://www.kiv.zcu.cz/~novyp/publ/publikac.html" target="_blank" >http://www.kiv.zcu.cz/~novyp/publ/publikac.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/AE49394.2020.9232826" target="_blank" >10.23919/AE49394.2020.9232826</a>
Alternative languages
Result language
angličtina
Original language name
Using cluster analysis for image processing in high speed video laryngoscopy
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 Internatiomal Conference on Applied Electronics
ISBN
978-80-261-0891-7
ISSN
1803-7232
e-ISSN
—
Number of pages
6
Pages from-to
39-44
Publisher name
ZČU v Plzni
Place of publication
Plzeň
Event location
ZČU Plzeň
Event date
Sep 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000659296200009