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

Journal: The Laryngoscope

Published Date: Jan 1, 2021

Abstract

OBJECTIVES: Contemporary clinical assessment of vocal fold adduction and abduction is qualitative and subjective. Herein is described a novel computer vision tool for automated quantitative tracking of vocal fold motion from videolaryngoscopy. The potential of this software as a diagnostic aid in unilateral vocal fold paralysis is demonstrated.

Authors

Nat Adamian

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

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

Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Cambridge.

Keywords

Adult Aged Aged, 80 and over Case-Control Studies Computers Deep Learning Female Humans Laryngoscopy Male Middle Aged Software Video Recording Vocal Cord Paralysis Vocal Cords

External Resources

View on PubMed Access via DOI PubMed (32356903)

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

Abstract

Authors

Keywords

External Resources

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