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%2F60461373%3A22340%2F23%3A43928129" target="_blank" >RIV/60461373:22340/23:43928129 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-35314-7_62" target="_blank" >http://dx.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. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Czech name
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Czech description
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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)

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

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