Work

Computer Vision Model to Detect and Classify Laryngomalacia From Pediatric Video Nasolaryngoscopy

Year: 2026

Type: article

Source: The Laryngoscope

DOI: 10.1002/lary.70439

Authors: Yasmine Madan, Zeyna Nida Copty, Zejia Chen, Karan S. Chahal, Paul Esemu‐Ezewu, Nikolaus E. Wolter, Evan J. Propst, Clyde Matava, Jennifer M. Siu

Institutions: University of Toronto, Hospital for Sick Children

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7129268131

FWCI: 3.116

Cites: 24

Cited by: 1

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