GlottisNetV2: Temporal Glottal Midline Detection Using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

GlottisNetV2: Temporal Glottal Midline Detection Using Deep Convolutional Neural Networks

Published:2023 Issue: Volume:11 Page:137-144
ISSN:2168-2372
Container-title:IEEE Journal of Translational Engineering in Health and Medicine
language:
Short-container-title:IEEE J. Transl. Eng. Health Med.

Author:

Kruse Elina¹^ORCID,Dollinger Michael²,Schutzenberger Anne²,Kist Andreas M.¹^ORCID

Affiliation:

1. Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen–Nürnberg (FAU), Erlangen, Germany

2. Department of Otorhinolaryngology, Head and Neck Surgery, Division of Phoniatrics and Pediatric Audiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen–Nürnberg (FAU), Erlangen, Germany

Funder

Deutsche Forschungsgesellschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Link

http://xplorestaging.ieee.org/ielx7/6221039/9961067/10021827.pdf?arnumber=10021827

Reference36 articles.

1. BAGLS, a multihospital benchmark for automatic glottis segmentation;gómez;Data Science Journal,2020

2. An overview of multi-task learning in deep neural networks;ruder;ArXiv 1706 05098,2017

3. Vocal fold vibrations at high soprano fundamental frequencies

4. OpenHSV: an open platform for laryngeal high-speed videoendoscopy

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