Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos

Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos

Endoscopic high-speed video (HSV) systems for visualization and assessment of vocal fold dynamics in the larynx are diverse and technically advancing. To consider resulting “concepts shifts” for neural network (NN)-based image processing, re-training of already trained and used NNs is necessary to a...

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Bibliographic Details
Main Authors: Michael Döllinger, Tobias Schraut, Lea A. Henrich, Dinesh Chhetri, Matthias Echternach, Aaron M. Johnson, Melda Kunduk, Youri Maryn, Rita R. Patel, Robin Samlan, Marion Semmler, Anne Schützenberger
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
convolutional neural networks
re-training
finetuning
high-speed imaging
glottis
voice
Online Access:https://www.mdpi.com/2076-3417/12/19/9791

Internet

https://www.mdpi.com/2076-3417/12/19/9791

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