Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
Automatic choroidal segmentation in OCT images using supervised deep learning methods
The analysis of the choroid in the eye is crucial for our understanding of a range of ocular
diseases and physiological processes. Optical coherence tomography (OCT) imaging …
diseases and physiological processes. Optical coherence tomography (OCT) imaging …
Multiscale attention gated network (MAGNet) for retinal layer and macular cystoid edema segmentation
A Cazañas-Gordón, LA da Silva Cruz - IEEE Access, 2022 - ieeexplore.ieee.org
Retinal optical coherence tomography (OCT) imaging is a mainstay in the clinical diagnosis
of several sight-threatening diseases. Due to the wide variability in shape and orientation of …
of several sight-threatening diseases. Due to the wide variability in shape and orientation of …
ChoroidNET: a dense dilated U-Net model for choroid layer and vessel segmentation in optical coherence tomography images
Understanding the changes in choroidal thickness and vasculature is important to monitor
the development and progression of various ophthalmic diseases. Accurate segmentation of …
the development and progression of various ophthalmic diseases. Accurate segmentation of …
Effect of altered OCT image quality on deep learning boundary segmentation
Deep learning methods provide a platform to segment boundaries within the retina and
choroid in OCT images of the posterior eye, with the ultimate goal of having a robust model …
choroid in OCT images of the posterior eye, with the ultimate goal of having a robust model …
[HTML][HTML] Automated detection of epiretinal membranes in oct images using deep learning
Y Tang, X Gao, W Wang, Y Dan, L Zhou, S Su… - Ophthalmic …, 2023 - karger.com
Introduction: Development and validation of a deep learning algorithm to automatically
identify and locate epiretinal memberane (ERM) regions in OCT images. Methods: OCT …
identify and locate epiretinal memberane (ERM) regions in OCT images. Methods: OCT …
Ensemble learning approach to retinal thickness assessment in optical coherence tomography
Manual assessment of the retinal thickness in optical coherence tomography images is a
time-consuming task, prone to error and inter-observer variability. The wide variability of the …
time-consuming task, prone to error and inter-observer variability. The wide variability of the …
Retinal disease detection using CNN through optical coherence tomography images
S Sarah, V Singh, MK Gourisaria… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The thin-layered tissue retina is an important part of the eye. Diabetic Macular Edema,
Drusen, and Choroidal Neovascularization are major maladies of the retina. Optical …
Drusen, and Choroidal Neovascularization are major maladies of the retina. Optical …
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks
Many clinical and research tasks rely critically upon the segmentation of tissue layers in
optical coherence tomography (OCT) images of the posterior eye (the retina and choroid) …
optical coherence tomography (OCT) images of the posterior eye (the retina and choroid) …
Perceptual-assisted adversarial adaptation for choroid segmentation in optical coherence tomography
Accurate choroid segmentation in optical coherence tomography (OCT) image is vital
because the choroid thickness is a major quantitative biomarker of many ocular diseases …
because the choroid thickness is a major quantitative biomarker of many ocular diseases …