Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network‐Based Image Classification System
Author:
Affiliation:
1. Department of Otorhinolaryngology–Head and Neck Surgery, Asan Medical Center University of Ulsan College of Medicine Seoul Republic of Korea
Publisher
Wiley
Subject
Otorhinolaryngology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/lary.29595
Reference22 articles.
1. Non-Neoplastic Lesions of the Larynx, Hypopharynx, and Trachea
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5. A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation
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