A deep learning pipeline for automated classification of vocal fold polyps in flexible laryngoscopy-Reference-Cited by-同舟云学术

A deep learning pipeline for automated classification of vocal fold polyps in flexible laryngoscopy

Published:2023-09-11 Issue: Volume: Page:
ISSN:0937-4477
Container-title:European Archives of Oto-Rhino-Laryngology
language:en
Short-container-title:Eur Arch Otorhinolaryngol

Author:

Yao Peter,Witte Dan,German Alexander,Periyakoil Preethi,Kim Yeo Eun,Gimonet Hortense,Sulica Lucian,Born Hayley,Elemento Olivier,Barnes Josue,Rameau Anaïs^ORCID

Funder

American Laryngological Voice Research and Education Foundation

National Institute on Aging

Common Fund

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Otorhinolaryngology

Link

https://link.springer.com/content/pdf/10.1007/s00405-023-08190-8.pdf

Reference17 articles.

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3. Lee JY, Jeong J, Song EM et al (2020) Real-time detection of colon polyps during colonoscopy using deep learning: systematic validation with four independent datasets. Sci Rep 10(1):8379. https://doi.org/10.1038/s41598-020-65387-1

4. Urban G, Tripathi P, Alkayali T et al (2018) Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy. Gastroenterology 155(4):1069-1078.e8. https://doi.org/10.1053/j.gastro.2018.06.037

5. Ren J, Jing X, Wang J et al (2020) Automatic recognition of laryngoscopic images using a deep-learning technique. Laryngoscope 130(11):E686–E693. https://doi.org/10.1002/lary.28539

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