Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Association Between the Modified Frailty Index and Short-Term Total Thyroidectomy Complications.

The Laryngoscope·2026

Same author

What is the Most Effective Treatment Approach for Vocal Fold Granuloma?

The Laryngoscope·2026

Same author

EdgeVolution: democratizing multi-objective neural architecture search and end-to-end deployment on microcontrollers.

Communications engineering·2026

Same author

Reducing Fiber-Induced Honeycomb Artifacts and Low-Light Noise in Nasal High-Speed Video Laryngoscopy: A Fast, Deterministic, Open-Source Approach.

Journal of voice : official journal of the Voice Foundation·2026

Same author

Investigation on vocal damping and epithelial oscillation regarding laryngeal mechanisms M2d and M3.

JASA express letters·2026

Same author

AI-Driven Detection and Classification of Voice Disorders Using Acoustic Recordings.

Journal of voice : official journal of the Voice Foundation·2026

Same journal

SowPostureDS: A Multi-Class Image Dataset for YOLO-Based Detection of Sow Postures in diverse Farrowing Systems.

Scientific data·2026

Same journal

A Pulmonary Ultrasound Dataset for Tumor Segmentation and Classification.

Scientific data·2026

Same journal

An open dataset of cerebral tau deposition in young healthy adults based on [<sup>18</sup>F]MK6240 positron emission tomography.

Scientific data·2026

Same journal

GLORIF1, a global river flow dataset created by integrating process-based modelling and machine learning.

Scientific data·2026

Same journal

Curated endoscopic retrograde cholangiopancreatography images dataset.

Scientific data·2026

Same journal

Age-Specific Cerebral Vessel Templates Across the Lifespan of Healthy Adults.

Scientific data·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 17, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

BAGLS, a multihospital Benchmark for Automatic Glottis Segmentation.

Pablo Gómez¹, Andreas M Kist², Patrick Schlegel³

¹Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Waldstraße 1, 91054, Erlangen, Germany. pablo.gomez@tum.de.

Scientific Data

|June 21, 2020

Summary

This summary is machine-generated.

A new dataset, BAGLS, offers 59,250 annotated frames from high-speed videoendoscopy recordings. This resource aids in developing and comparing automatic glottis segmentation methods for voice disorder research.

More Related Videos

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Related Experiment Videos

Last Updated: Dec 17, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

* Otolaryngology and Speech Science
* Medical Imaging and Computational Analysis

Background:

* Laryngeal videoendoscopy is crucial for voice disorder diagnosis and research.
* Manual segmentation of vocal fold oscillations from high-speed recordings is time-intensive.
* Lack of public datasets hinders development and comparison of automated segmentation methods.

Purpose of the Study:

* To introduce the BAGLS dataset for high-speed videoendoscopy.
* To facilitate the development and benchmarking of automated glottis segmentation algorithms.
* To support the training of generalizable deep learning models for voice analysis.

Main Methods:

* Creation of a large, multi-institutional dataset (BAGLS) comprising 59,250 annotated frames.
* Inclusion of 640 high-speed videoendoscopy recordings from healthy and disordered subjects.
* Data acquired using diverse equipment and recorded by multiple clinicians.

Main Results:

* The BAGLS dataset provides a standardized resource for glottis segmentation research.
* Enables objective comparison of existing and novel segmentation techniques.
* Facilitates the training of deep learning models for improved voice disorder assessment.

Conclusions:

* The BAGLS dataset addresses the critical need for public resources in laryngeal image analysis.
* It will accelerate advancements in automated vocal fold segmentation and voice disorder research.
* Promotes reproducible research and wider adoption of deep learning in clinical practice.