Classification and Segmentation of Mucus Morphology Using Deep Learning During Diagnostic Nasal Endoscopy Article

Full Text via DOI: 10.1002/alr.70004 Web of Science: 001548681400001

Cited authors

  • Gyawali D, Bidwell J, Bhatia SS, Fujiwara A, Mundy T, Baker K, Bartolone E, Patel D, McCoul ED

Abstract

  • A pretrained deep learning model can segment and classify mucus morphologies encountered during nasal endoscopy. Strong performance for different mucus morphologies supports the detection of sinonasal inflammation. This is the first study to objectively classify mucus morphology in nasal settings.

Publication date

  • 2025

International Standard Serial Number (ISSN)

  • 2042-6976

Number of pages

  • 3