A deep learning approach to predict visual field using optical coherence tomography.

A deep learning approach to predict visual field using optical coherence tomography.

We developed a deep learning architecture based on Inception V3 to predict visual field using optical coherence tomography (OCT) imaging and evaluated its performance. Two OCT images, macular ganglion cell-inner plexiform layer (mGCIPL) and peripapillary retinal nerve fibre layer (pRNFL) thicknesses...

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Bibliographic Details
Main Authors: Keunheung Park, Jinmi Kim, Jiwoong Lee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0234902

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