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Updated: Jun 24, 2025
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
Published on: December 15, 2023
Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional
Vinayak Ganeshan1, Jonathan Bidwell1, Dipesh Gyawali1
1Department of Otorhinolaryngology, Ochsner Health, New Orleans, Louisiana, USA.
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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