Artificial intelligence in OCT angiography

TT Hormel, TS Hwang, ST Bailey, DJ Wilson… - Progress in retinal and …, 2021 - Elsevier
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …

Past, present and future role of retinal imaging in neurodegenerative disease

AH Kashani, S Asanad, JW Chan, MB Singer… - Progress in retinal and …, 2021 - Elsevier
Retinal imaging technology is rapidly advancing and can provide ever-increasing amounts
of information about the structure, function and molecular composition of retinal tissue in …

CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging

L Mou, Y Zhao, H Fu, Y Liu, J Cheng, Y Zheng… - Medical image …, 2021 - Elsevier
Automated detection of curvilinear structures, eg, blood vessels or nerve fibres, from medical
and biomedical images is a crucial early step in automatic image interpretation associated to …

ROSE: a retinal OCT-angiography vessel segmentation dataset and new model

Y Ma, H Hao, J **e, H Fu, J Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique
that has been increasingly used to image the retinal vasculature at capillary level resolution …

Image projection network: 3D to 2D image segmentation in OCTA images

M Li, Y Chen, Z Ji, K **e, S Yuan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We present an image projection network (IPN), which is a novel end-to-end architecture and
can achieve 3D-to-2D image segmentation in optical coherence tomography angiography …

Enhanced deep learning model for classification of retinal optical coherence tomography images

E Hassan, S Elmougy, MR Ibraheem, MS Hossain… - Sensors, 2023 - mdpi.com
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the
condition of the back part of the eye. The condition has a great effect on the specificity of …

[HTML][HTML] Sine-Net: A fully convolutional deep learning architecture for retinal blood vessel segmentation

I Atli, OS Gedik - Engineering Science and Technology, an International …, 2021 - Elsevier
Segmentation of blood vessels becomes an initial critical step in medical imaging because it
is a key item for the diagnosis of many diseases in different fields including ophthalmology …

Plexus-specific retinal vascular anatomy and pathologies as seen by projection-resolved optical coherence tomographic angiography

TT Hormel, Y Jia, Y Jian, TS Hwang, ST Bailey… - Progress in Retinal and …, 2021 - Elsevier
Optical coherence tomographic angiography (OCTA) is a novel technology capable of
imaging retinal vasculature three-dimensionally at capillary scale without the need to inject …

Comparison of methods to quantify macular and peripapillary vessel density in optical coherence tomography angiography

A Rabiolo, F Gelormini, R Sacconi, MV Cicinelli… - PloS one, 2018 - journals.plos.org
Purpose To compare macular and peripapillary vessel density values calculated on optical
coherence tomography angiography (OCT-A) images with different algorithms, elaborate …

[PDF][PDF] Ipn-v2 and octa-500: Methodology and dataset for retinal image segmentation

M Li, Y Zhang, Z Ji, K **e, S Yuan, Q Liu… - arxiv preprint arxiv …, 2020 - researchgate.net
Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows
a micron-level resolution to present the three-dimensional structure of the retinal vascular. In …