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Pretrained deep learning model segments and classifies mucus morphologies during nasal endoscopy, suggesting enhanced detection of sinonasal inflammation.
Summary 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.
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Gyawali et al. (2025) studied this question.
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