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Artificial intelligence in OCT angiography
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …
provides three-dimensional, information-rich vascular images. With numerous studies …
Quantitative optical coherence tomography angiography: a review
As a new optical coherence tomography (OCT) modality, OCT angiography (OCTA) provides
a noninvasive method to detect microvascular distortions correlated with eye conditions. By …
a noninvasive method to detect microvascular distortions correlated with eye conditions. By …
AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography
This study is to demonstrate deep learning for automated artery-vein (AV) classification in
optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional …
optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional …
AV-casNet: fully automatic arteriole-venule segmentation and differentiation in OCT angiography
Automatic segmentation and differentiation of retinal arteriole and venule (AV), defined as
small blood vessels directly before and after the capillary plexus, are of great importance for …
small blood vessels directly before and after the capillary plexus, are of great importance for …
MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography
This study is to demonstrate the effect of multimodal fusion on the performance of deep
learning artery-vein (AV) segmentation in optical coherence tomography (OCT) and OCT …
learning artery-vein (AV) segmentation in optical coherence tomography (OCT) and OCT …
[HTML][HTML] A deep learning network for classifying arteries and veins in montaged widefield OCT angiograms
Purpose To propose a deep-learning− based method to differentiate arteries from veins in
montaged widefield OCT angiography (OCTA). Design Cross-sectional study. Participants A …
montaged widefield OCT angiography (OCTA). Design Cross-sectional study. Participants A …
An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography
Background Differential artery-vein (AV) analysis in optical coherence tomography
angiography (OCTA) holds promise for the early detection of eye diseases. However …
angiography (OCTA) holds promise for the early detection of eye diseases. However …
Deep learning for artery–vein classification in optical coherence tomography angiography
Major retinopathies can differentially impact the arteries and veins. Traditional fundus
photography provides limited resolution for visualizing retinal vascular details. Optical …
photography provides limited resolution for visualizing retinal vascular details. Optical …
Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina
This study is to characterize reflectance profiles of retinal blood vessels in optical coherence
tomography (OCT), and to test the potential of using these vascular features to guide artery …
tomography (OCT), and to test the potential of using these vascular features to guide artery …
Vascular morphology and blood flow signatures for differential artery-vein analysis in optical coherence tomography of the retina
Differential artery-vein (AV) analysis is essential for retinal study, disease detection, and
treatment assessment. This study is to characterize vascular reflectance profiles and blood …
treatment assessment. This study is to characterize vascular reflectance profiles and blood …