Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms

Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms

PurposeWe formulated and tested ensemble learning models to classify axial length (AXL) from choroidal thickness (CT) as indicated on fovea-centered, 2D single optical coherence tomography (OCT) images.DesignRetrospective cross-sectional study.ParticipantsWe analyzed 710 OCT images from 355 eyes of...

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Bibliographic Details
Main Authors: Hao-Chun Lu, Hsin-Yi Chen, Chien-Jung Huang, Pao-Hsien Chu, Lung-Sheng Wu, Chia-Ying Tsai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Medicine
Subjects:
high myopia
choroidal thickness
axial length
machine learning
ensemble learning
optical coherence tomography (OCT)
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.850284/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.850284/full

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