Classification of pachychoroid on optical coherence tomography using deep learning.

Nam Yeo KangHo RaKook LeeJun Hyuk LeeWon Ki LeeJiwon Baek

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2021)

DL models classified pachychoroid and non-pachychoroid images with good performance. Accurate classification can be achieved using CNN models with deep rather than shallow neural networks.

Keyphrases

deep learning
convolutional neural network
neural network
optical coherence tomography
artificial intelligence
machine learning
high resolution
mass spectrometry