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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: 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
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2022-09-01
Saila:Applied Sciences
Gaiak:
convolutional neural networks
re-training
finetuning
high-speed imaging
glottis
voice
Sarrera elektronikoa:https://www.mdpi.com/2076-3417/12/19/9791

Internet

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

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