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Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices

PURPOSE: To develop a deep learning model to estimate the visual field (VF) from spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) and to compare the performance between them. METHODS: Two deep learning models based on Inception-ResNet-v2 were trained to estimate 24...

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Bibliografiske detaljer
Udgivet i:Transl Vis Sci Technol
Main Authors: Shin, Jonghoon, Kim, Sungjoon, Kim, Jinmi, Park, Keunheung
Format: Artigo
Sprog:Inglês
Udgivet: The Association for Research in Vision and Ophthalmology 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8185404/
https://ncbi.nlm.nih.gov/pubmed/34086043
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.10.7.4
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