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 …
[PDF][PDF] Classification of retinal diseases based on OCT images
1. ABSTRACT Optical Coherence Topography (OCT) is an emerging biomedical imaging
technology that offers non-invasive real-time, high-resolution imaging of highly scattering …
technology that offers non-invasive real-time, high-resolution imaging of highly scattering …
Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
Segmentation of anatomical and pathological structures in ophthalmic images is crucial for
the diagnosis and study of ocular diseases. However, manual segmentation is often a time …
the diagnosis and study of ocular diseases. However, manual segmentation is often a time …
Automated layer segmentation of macular OCT images using dual-scale gradient information
A novel automated boundary segmentation algorithm is proposed for fast and reliable
quantification of nine intra-retinal boundaries in optical coherence tomography (OCT) …
quantification of nine intra-retinal boundaries in optical coherence tomography (OCT) …
Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map
Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal
imaging. In this paper, we introduce a fast segmentation method based on a new variant of …
imaging. In this paper, we introduce a fast segmentation method based on a new variant of …
Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks
FG Venhuizen, B van Ginneken, B Liefers… - Biomedical optics …, 2017 - opg.optica.org
We developed a fully automated system using a convolutional neural network (CNN) for total
retina segmentation in optical coherence tomography (OCT) that is robust to the presence of …
retina segmentation in optical coherence tomography (OCT) that is robust to the presence of …
Automated segmentation of intraretinal cystoid fluid in optical coherence tomography
GR Wilkins, OM Houghton… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Cystoid macular edema (CME) is observed in a variety of ocular disorders and is strongly
associated with vision loss. Optical coherence tomography (OCT) provides excellent …
associated with vision loss. Optical coherence tomography (OCT) provides excellent …
Unsupervised denoising of optical coherence tomography images with nonlocal-generative adversarial network
Deep learning for image denoising has recently attracted considerable attentions due to its
excellent performance. Since most of current deep learning-based denoising models require …
excellent performance. Since most of current deep learning-based denoising models require …
A review of algorithms for segmentation of optical coherence tomography from retina
Optical coherence tomography (OCT) is a recently established imaging technique to
describe different information about the internal structures of an object and to image various …
describe different information about the internal structures of an object and to image various …
Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments
Automated retinal layer segmentation of optical coherence tomography (OCT) images has
been successful for normal eyes but becomes challenging for eyes with retinal diseases if …
been successful for normal eyes but becomes challenging for eyes with retinal diseases if …