Institute of Information Theory and Automation

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Conference Paper (international conference)

Automatic Estimation of Mucosal Waves Lateral Peak Sharpness – Modern Approach

Zita Aleš, Greško Šimon, Novozámský Adam, Šorel Michal, Zitová Barbara, Švec J. G., Vydrová J.

: IS&T International Symposium on Electronic Imaging 2023 Image Processing: Algorithms and Systems XXI, 300

: IS&T International Symposium on Electronic Imaging 2023, (San Francisco, US, 20230115)

: TH04010422, GA TA ČR, GA21-03921S, GA ČR

: VKG, Deep Learning, Mucosal Wave, Larynx, Vocal Fold, Videokymography, Machine Learning

: 10.2352/EI.2023.35.9.IPAS-300

: http://library.utia.cas.cz/separaty/2023/ZOI/novozamsky-0568366.pdf

(eng): 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.

: JC

: 20206

2019-01-07 08:39