Diagnosis with confidence: deep learning for reliable classification of laryngeal dysplasia.

Mélanie LubranoYaëlle Bellahsen-HarrarSylvain BerlemontSarah AtallahEmmanuelle VazThomas WalterCécile Badoual

Published in: Histopathology (2023)

Our results demonstrate that the model, associated with confidence measurements, can help in the difficult task of classifying HN squamous lesions by limiting variability and detecting ambiguous cases, taking us one step closer to a wider adoption of AI-based assistive tools.

Keyphrases

deep learning
artificial intelligence
machine learning
convolutional neural network
high grade
electronic health record
low grade