Can deep learning replace histopathological examinations in the differential diagnosis of cervical lymphadenopathy?

Sermin Can Ömer Türk Muhammed Ayral Günay Kozan Hamza Arı Mehmet Akdağ Müzeyyen Yıldırım Baylan

Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2023)

Deep learning is a useful diagnostic tool in diagnosing cervical lymphadenopathy. In the near future, many diseases could be diagnosed with deep learning models without radiologist interpretations and invasive examinations such as histopathological examinations. However, further studies with much larger case series are needed to develop accurate deep-learning models.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
high resolution