Retinal OCT image registration: methods and applications
L Pan, X Chen - IEEE Reviews in Biomedical Engineering, 2021 - ieeexplore.ieee.org
Retinal image registration is a critical task in the diagnosis and treatment of various eye
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
Wavelet scattering transform application in classification of retinal abnormalities using OCT images
To assist ophthalmologists in diagnosing retinal abnormalities, Computer Aided Diagnosis
has played a significant role. In this paper, a particular Convolutional Neural Network based …
has played a significant role. In this paper, a particular Convolutional Neural Network based …
[HTML][HTML] Interocular asymmetry of choroidal thickness and vascularity index measurements in normal eyes assessed by swept-source optical coherence tomography
Background To investigate the symmetry of interocular choroidal thickness and vascularity
index measurements in normal eyes using swept-source optical coherence tomography (SS …
index measurements in normal eyes using swept-source optical coherence tomography (SS …
Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities
H Danesh, K Maghooli, A Dehghani… - Medical & Biological …, 2022 - Springer
Nowadays, retinal optical coherence tomography (OCT) plays an important role in
ophthalmology and automatic analysis of the OCT is of real importance: image denoising …
ophthalmology and automatic analysis of the OCT is of real importance: image denoising …
Decision trees for glaucoma screening based on the asymmetry of the retinal nerve fiber layer in optical coherence tomography
Purpose: The aim of this study was to analyze the relevance of asymmetry features between
both eyes of the same patient for glaucoma screening using optical coherence tomography …
both eyes of the same patient for glaucoma screening using optical coherence tomography …
[HTML][HTML] Glaucoma detection: Binocular approach and clinical data in machine learning
O Kovalyk-Borodyak, J Morales-Sánchez… - Artificial Intelligence in …, 2025 - Elsevier
In this work, we present a multi-modal machine learning method to automate early glaucoma
diagnosis. The proposed methodology introduces two novel aspects for automated …
diagnosis. The proposed methodology introduces two novel aspects for automated …
Automatic segmentation of the retinal nerve fiber layer by means of mathematical morphology and deformable models in 2d optical coherence tomography imaging
Glaucoma is a neurodegenerative disease process that leads to progressive damage of the
optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology …
optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology …
[HTML][HTML] Genetic susceptibility to schizophrenia through neuroinflammatory pathways is associated with retinal thinning: Findings from the UK-Biobank
The human retina is part of the central nervous system and can be easily and non-invasively
imaged with optical coherence tomography. While imaging the retina may provide insights …
imaged with optical coherence tomography. While imaging the retina may provide insights …
Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients
One of the main diseases that affect to the optic nerve is glaucoma, which causes
progressive and irreversible damage that reduces the vision field of the patient. The …
progressive and irreversible damage that reduces the vision field of the patient. The …
Application of enface image registration/alignment to introduce new ocular imaging biomarkers
This chapter is dedicated to discussing the application of enface image
registration/alignment to introduce new ocular imaging biomarkers. The enface images …
registration/alignment to introduce new ocular imaging biomarkers. The enface images …