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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 …
Past, present and future role of retinal imaging in neurodegenerative disease
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 …
of information about the structure, function and molecular composition of retinal tissue in …
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging
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 …
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
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 …
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
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 …
can achieve 3D-to-2D image segmentation in optical coherence tomography angiography …
Enhanced deep learning model for classification of retinal optical coherence tomography images
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 …
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 …
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
Optical coherence tomographic angiography (OCTA) is a novel technology capable of
imaging retinal vasculature three-dimensionally at capillary scale without the need to inject …
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 …
coherence tomography angiography (OCT-A) images with different algorithms, elaborate …
[PDF][PDF] Ipn-v2 and octa-500: Methodology and dataset for retinal image segmentation
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 …
a micron-level resolution to present the three-dimensional structure of the retinal vascular. In …