Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional neural network

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Abstract

Key points: A convolutional neural network (CNN)-based model can accurately localize and segment turbinates in images obtained during nasal endoscopy (NE). This model represents a starting point for algorithms that comprehensively interpret NE findings.

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Ganeshan, V., Bidwell, J., Gyawali, D., Nguyen, T. S., Morse, J., Smith, M. P., … McCoul, E. D. (2024). Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional neural network. International Forum of Allergy and Rhinology, 14(9), 1521–1524. https://doi.org/10.1002/alr.23384

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