A review of research progress in optical coherence tomography and its application in deep learning
LIAO Qi
MA Lixin
HUO Rui
Song Weiye
Cui Yuan
Abstract：Optical coherence tomography(OCT)is a non-invasive high-resolution imaging technique and serves as the gold standard for diagnosis of retinal diseases.With the advancement of technology,OCT has achieved rapid development in imaging speed,resolution,and other aspects.It enables the detection of indicators such as retinal angiography,blood oxygen saturation,and blood flow velocity,and when combined with deep learning technology,provides important reference value for the diagnosis and treatment of oph-thalmic diseases.This article introduces the research progress of OCT in the field of ophthalmology from the perspectives of OCT struc-tural imaging and functional imaging,as well as the OCT image processing methods based on deep learning and looks forward to the ap-plication prospects of OCT in ophthalmic clinical practice.
Keywords：Optical coherence tomographyRetinal diseasesDeep learningImage processing
Publication Date：2025-12-30
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：6( 409-414 )