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Classification and Segmentation of Mucus Morphology Using Deep Learning During Diagnostic Nasal Endoscopy
Dipesh Gyawali1, Jonathan Bidwell1, Sejal Shyam Bhatia1
1Department of Otorhinolaryngology, Ochsner Health, New Orleans, Louisiana, USA.
International Forum of Allergy & Rhinology
|August 29, 2025
Abstract
Key Points:
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.

