Comparison of manual and artificial intelligence-automated choroidal thickness segmentation of optical coherence tomography imaging in myopic adults.

Zhi Wei LimJonathan LiDamon WongJoey ChungAngeline TohJia Ling LeeCrystal LamMaithily BalakrishnanAudrey ChiaJacqueline ChuaMichael GirardQuan V HoangRachel ChongChee Wai WongSeang Mei SawLeopold SchmettererNoel BrennanMarcus Ang

Published in: Eye and vision (London, England) (2024)

We observed an excellent agreement in choroidal segmentation measurements when comparing manual with AI-automated techniques, using images from two SS-OCT systems. Given its edge over manual segmentation, automated segmentation may potentially emerge as the primary method of choroidal thickness measurement in the future.

Keyphrases

deep learning
optical coherence tomography
artificial intelligence
convolutional neural network
big data
diabetic retinopathy
machine learning
optic nerve
high resolution
single cell
fluorescence imaging