Automated multi-class classification for prediction of tympanic membrane changes with deep learning models.

Yeonjoo ChoiJihye Chae Keunwoo ParkJaehee HurJihoon KweonJoong Ho Ahn

Published in: PloS one (2022)

Deep-learning classification can be used to support clinical decision-making by accurately and reproducibly predicting tympanic membrane changes in real time, even in the presence of multiple concurrent diseases.

Keyphrases

deep learning
decision making
artificial intelligence
convolutional neural network
machine learning
squamous cell carcinoma
radiation therapy
rectal cancer