Assessing the external validity of machine learning-based detection of glaucoma
Studies using machine learning (ML) approaches have reported high diagnostic accuracies
for glaucoma detection. However, none assessed model performance across ethnicities …
for glaucoma detection. However, none assessed model performance across ethnicities …
Optical coherence tomography angiography in glaucoma
The use of optical coherence tomography angiography (OCTA) holds significant promise for
optometrists in the diagnosis and management of glaucoma. It offers reliable differentiation …
optometrists in the diagnosis and management of glaucoma. It offers reliable differentiation …
Comparison of different machine learning classifiers for glaucoma diagnosis based on spectralis OCT
Early detection is important in glaucoma management. By using optical coherence
tomography (OCT), the subtle structural changes caused by glaucoma can be detected …
tomography (OCT), the subtle structural changes caused by glaucoma can be detected …
Evaluation of generative adversarial networks for high-resolution synthetic image generation of circumpapillary optical coherence tomography images for glaucoma
Importance Deep learning (DL) networks require large data sets for training, which can be
challenging to collect clinically. Generative models could be used to generate large …
challenging to collect clinically. Generative models could be used to generate large …
Combining retinal structural and vascular measurements improves discriminative power for multiple sclerosis patients
Data on how retinal structural and vascular parameters jointly influence the diagnostic
performance of detection of multiple sclerosis (MS) patients without optic neuritis (MSNON) …
performance of detection of multiple sclerosis (MS) patients without optic neuritis (MSNON) …
Clinical Characteristics of Methanol‐Induced Optic Neuropathy: Correlation between Aetiology and Clinical Findings
Q Sun, M Sun, Y Zhang, S Wang, W Bai… - Journal of …, 2022 - Wiley Online Library
Purpose. To show the clinical characteristics, identify the magnetic resonance imaging (MRI)
and optical coherence tomography (OCT) features, and observe the visual outcome of …
and optical coherence tomography (OCT) features, and observe the visual outcome of …
Investigating the macular choriocapillaris in early primary open-angle glaucoma using swept-source optical coherence tomography angiography
Introduction There has been a growing interest in the role of vascular factors in glaucoma.
Studies have looked at the characteristics of macular choriocapillaris in patients with …
Studies have looked at the characteristics of macular choriocapillaris in patients with …
Ganglion cell complex: the optimal measure for detection of structural progression in the macula
V Mohammadzadeh, E Su, A Rabiolo, L Shi… - American journal of …, 2022 - Elsevier
Purpose To test the hypothesis that macular ganglion cell complex (GCC) thickness from
optical coherence tomography (OCT) provides a stronger change signal regardless of …
optical coherence tomography (OCT) provides a stronger change signal regardless of …
[HTML][HTML] Multivariate normative comparison, a novel method for improved use of retinal nerve fiber layer thickness to detect early glaucoma
Purpose Detection of early glaucoma remains limited with the conventional analysis of the
retinal nerve fiber layer (RNFL). This study assessed whether compensating the RNFL …
retinal nerve fiber layer (RNFL). This study assessed whether compensating the RNFL …
[HTML][HTML] Comparison of ganglion cell layer and ganglion cell/inner plexiform layer measures for detection of early glaucoma
G Mahmoudinezhad, V Mohammadzadeh… - Ophthalmology …, 2023 - Elsevier
Purpose To test the hypothesis that macular ganglion cell layer (GCL) measurements detect
early glaucoma with higher accuracy than ganglion cell/inner plexiform layer (GCIPL) …
early glaucoma with higher accuracy than ganglion cell/inner plexiform layer (GCIPL) …