An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy-Reference-Cited by-同舟云学术

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An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy

Published:2020-05 Issue:1 Volume:131 Page:
ISSN:0023-852X
Container-title:The Laryngoscope
language:en
Short-container-title:The Laryngoscope

Author:

Adamian Nat¹,Naunheim Matthew R.²^ORCID,Jowett Nate¹^ORCID

Affiliation:

1. Surgical Photonics & Engineering Laboratory, Department of Otolaryngology – Head and Neck Surgery Massachusetts Eye and Ear and Harvard Medical School Boston Massachusetts U.S.A.

2. Division of Laryngology, Department of Otolaryngology – Head and Neck Surgery Massachusetts Eye and Ear and Harvard Medical School Boston Massachusetts U.S.A.

Funder

AAFPRS Research Scholar Award

Douglas and Diana Berthiaume Family

Publisher

Wiley

Subject

Otorhinolaryngology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lary.28669

Reference38 articles.

1. Nomenclature proposal to describe vocal fold motion impairment

2. Voice Outcome Measures for Adult Patients With Unilateral Vocal Fold Paralysis: A Systematic Review

3. Reliability of Clinician-Based (GRBAS and CAPE-V) and Patient-Based (V-RQOL and IPVI) Documentation of Voice Disorders

4. Differential Diagnosis of Hoarseness

5. Consensus Auditory-Perceptual Evaluation of Voice: Development of a Standardized Clinical Protocol

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer Vision and Videomics in Otolaryngology–Head and Neck Surgery;Otolaryngologic Clinics of North America;2024-10

2. Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery;Otolaryngologic Clinics of North America;2024-10

3. New developments in the application of artificial intelligence to laryngology;Current Opinion in Otolaryngology & Head & Neck Surgery;2024-07-25

4. A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method;Scientific Reports;2024-06-23

5. Improving Laryngoscopy Image Analysis Through Integration of Global Information and Local Features in VoFoCD Dataset;Journal of Imaging Informatics in Medicine;2024-05-29

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