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Accurate diagnosis of cholesteatomas is crucial. However, cholesteatomas can easily be missed in routine otoscopic exams. Convolutional neural networks (CNNs) have performed well in medical image classification, so we evaluated… Click to show full abstract
Accurate diagnosis of cholesteatomas is crucial. However, cholesteatomas can easily be missed in routine otoscopic exams. Convolutional neural networks (CNNs) have performed well in medical image classification, so we evaluated their use for detecting cholesteatomas in otoscopic images.
Keywords:
use artificial;
intelligence diagnosis;
diagnosis;
artificial intelligence;
diagnosis cholesteatoma
Journal Title: Laryngoscope Investigative Otolaryngology
Year Published: 2023
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Journal Title: Laryngoscope Investigative Otolaryngology
Year Published: 2023
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!