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

Vinayak GaneshanJonathan BidwellDipesh GyawaliThinh S NguyenJonathan MorseMadeline P SmithBlair M Barton Edward D McCoul

Published in: International forum of allergy & rhinology (2024)

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.

Keyphrases

convolutional neural network
deep learning
machine learning
small bowel
chronic rhinosinusitis