Detection of Vocal Cords in Endoscopic Images Based on YOLO Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F23%3A43929627" target="_blank" >RIV/00064173:_____/23:43929627 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22340/23:43928129 RIV/00216208:11120/23:43929627
Result on the web
<a href="https://doi.org/10.1007/978-3-031-35314-7_62" target="_blank" >https://doi.org/10.1007/978-3-031-35314-7_62</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-35314-7_62" target="_blank" >10.1007/978-3-031-35314-7_62</a>

Result language
angličtina
Original language name
Detection of Vocal Cords in Endoscopic Images Based on YOLO Network
Original language description
This article presents an application of the YOLOv5 object detection algorithm to detect vocal folds in laryngoscopic videos without any additional image enhancement. Accuracy in the form of mean average precision, precision, and recall of architectures are evaluated and compared. Results suggest that the YOLO detection algorithm could be used to locate the region of vocal folds for a further objective evaluation that could potentially be implemented in clinical practice.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Artificial Intelligence Application in Networks and Systems: Proceedings of 12th Computer Science On-line Conference 2023, Volume 3
ISBN
978-3-031-35313-0
ISSN
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e-ISSN
—
Number of pages
9
Pages from-to
747-755
Publisher name
Springer
Place of publication
Cham
Event location
Virtual, Online
Event date
Apr 3, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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