Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images

Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images

Abstract Background This study aims to develop a deep learning-based algorithm dedicated to the automated classification of choroidal layers in en face swept-source optical coherence tomography (SS-OCT) images of the eye. Methods A cohort of 117 healthy subjects (117 eyes), underwent SS-OCT volume s...

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Bibliographic Details
Main Authors: Je Moon Yoon, Ji Young Lim, Hoon Noh, Seung Wan Nam, Jee-Hyong Lee, Don-Il Ham
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Ophthalmology
Subjects:
Deep learning
Artificial intelligence
Choroid
Swept-source optical coherence tomography
Online Access:https://doi.org/10.1186/s12886-025-04170-0
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https://doi.org/10.1186/s12886-025-04170-0

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