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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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