Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images.

Tan Hung PhamSripad Krishna DevallaAloysius AngZhi Da SohAlexandre H ThieryCraig BooteChing-Yu Cheng Michaël J A GirardVictor Koh

Published in: The British journal of ophthalmology (2020)

This is an essential step towards providing a robust automated framework for reliable quantification of ASOCT scans, for applications in the diagnosis and management of angle-closure glaucoma.

Keyphrases

deep learning
optical coherence tomography
optic nerve
high resolution
machine learning
convolutional neural network
computed tomography
artificial intelligence
diabetic retinopathy
contrast enhanced
mass spectrometry
cataract surgery
magnetic resonance imaging
magnetic resonance
dual energy
high throughput