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18 results with keyword: 'automated segmentation of retinal optical coherence tomography images'

Automated Segmentation of Retinal Optical Coherence Tomography Images

This thesis consists of six chapters in total including the current one, which introduces the concepts behind the whole project and the principle of the optical coherence

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2021
Geodesic Graph Cut Based Retinal Fluid Segmentation in Optical Coherence Tomography

Geodesic Graph Cut Based Retinal Fluid Segmentation in Optical Geodesic Graph Cut Based Retinal Fluid Segmentation in Optical Coherence Tomography Coherence Tomography

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2021
Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance

The accuracy of segmentation results obtained by the three automated 2D methods (i.e. PDS, Chiu’s method and GDM) over these healthy and pathological B-scans is evaluated using

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2020
Swept source optical coherence tomography and optical coherence tomography angiography in pediatric enhanced S cone syndrome: a case report

Conclusions: Swept source structural optical coherence tomography (B scans and “ en face ” images) and optical coherence tomography angiography allowed the observation of

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2020
Validation of automated artificial intelligence segmentation of optical coherence tomography images

Abstract: PURPOSE To benchmark the human and machine performance of spectral-domain (SD) and swept-source (SS) optical coherence tomography (OCT) image segmentation, i.e.,

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2021
Two-dimensional segmentation of the retinal vascular network from optical coherence tomography

10 Optical coherence tomography fundus images and automatic segmentation results for cases with pathological disorders: (a) full-thickness macular hole, (b) branch retinal

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2021
Validation of automated artificial intelligence segmentation of optical coherence tomography images

To benchmark the human and machine performance of spectral-domain (SD) and swept- source (SS) optical coherence tomography (OCT) image segmentation, i.e., pixel-wise clas-

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2021
Segmentation of Outer Retinal Layers Using Model Selection Algorithms

Sonka, “Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map,” Medical Image Analysis, vol. Farsiu, “Automatic

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2020
Multifactor analysis of delayed absorption of subretinal fluid after scleral buckling surgery

Keywords: Rhegmatogenous retinal detachment, Scleral buckling, Subretinal fluid, Choriocapillaris flow density, Optical coherence tomography, Optical coherence tomography

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2021
Automatic segmentation of anterior segment optical coherence tomography images

For 3D segmentation, the best technique developed used graph theory with shape to segment 2D images then used a novel alignment method to align images to produce a 3D surface.

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2019
Vascularized drusen: a cross-sectional study

Keywords: Age-related macular degeneration, Retina, Optical coherence tomography, Optical coherence tomography angiography, Vascularized drusen, Retinal imaging.. © The

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2020
Atypical white dot syndrome with choriocapillaris ischemia in a patient with latent tuberculosis

ICGA: Indocyanine green angiography; MEWDS: Multiple evanescent white dot syndrome; OCT: Optical coherence tomography; OCTA: Optical coherence tomography angiography; RPE:

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2020
Segmentation of human retinal layers from optical coherence tomography scans

Previous studies using deformable models for this purpose had not exploited the information present between individual B-scans, and the presented dual-model framework provides

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2021
Defects Along Blood Vessels in Glaucoma Suspects and Patients

retinal nerve fiber layer (RNFL) seen on circumpapillary optical coherence tomography (OCT) images of glaucoma patients and suspects and the paravascular inner retinal defects

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2021
Retinal sensitivity and photoreceptor arrangement changes secondary to congenital simple hamartoma of retinal pigment epithelium

RPE: retinal pigment epithelium; EDI-SBOCT: enhanced-depth imaging spectralis B-scan optical coherence tomography; OCT-A: optical coherence tomography angiography; CSHRPE:

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2020
An active contour approach for segmentation of intra-retinal layers in optical coherence tomography images

Mean and standard deviation of thickness differences calculated using the results of different methods (ACWOE–SW, ACWOE–S, and ACWOE) and the ground truth manual segmentation, over

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2021
Retinal oximetry using ultrahigh-resolution optical coherence tomography

demonstrated that spectral data in images captured by ultrahigh-resolution optical coherence tomography (UHR-OCT) provide useful information for retinal oximetry..

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2020

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