Automatic Estimation of Mucosal Waves Lateral Peak Sharpness – Modern Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00568366" target="_blank" >RIV/67985556:_____/23:00568366 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/23:73619812
Result on the web
<a href="http://dx.doi.org/10.2352/EI.2023.35.9.IPAS-300" target="_blank" >http://dx.doi.org/10.2352/EI.2023.35.9.IPAS-300</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2352/EI.2023.35.9.IPAS-300" target="_blank" >10.2352/EI.2023.35.9.IPAS-300</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Estimation of Mucosal Waves Lateral Peak Sharpness – Modern Approach
Original language description
Videokymographic (VKG) images of the human larynx are often used for automatic vibratory feature extraction for diagnostic purposes. One of the most challenging parameters to evaluate is the presence of mucosal waves and their lateral peaks' sharpness. Although these features can be clinically helpful and give an insight into the health and pliability of vocal fold mucosa, the identification and visual estimation of the sharpness can be challenging for human examiners and even more so for an automatic process. This work aims to create and validate a new method that can automatically quantify the lateral peak sharpness from the VKG images using a convolutional neural network.
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
20206 - Computer hardware and architecture
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IS&T International Symposium on Electronic Imaging 2023 Image Processing: Algorithms and Systems XXI
ISBN
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ISSN
1017-9909
e-ISSN
1560-229X
Number of pages
5
Pages from-to
300
Publisher name
Society for Imaging Science and Technology
Place of publication
Springfield
Event location
San Francisco
Event date
Jan 15, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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