18 results with keyword: '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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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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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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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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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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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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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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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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Keywords: Rhegmatogenous retinal detachment, Scleral buckling, Subretinal fluid, Choriocapillaris flow density, Optical coherence tomography, Optical coherence tomography
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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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Keywords: Age-related macular degeneration, Retina, Optical coherence tomography, Optical coherence tomography angiography, Vascularized drusen, Retinal imaging.. © The
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ICGA: Indocyanine green angiography; MEWDS: Multiple evanescent white dot syndrome; OCT: Optical coherence tomography; OCTA: Optical coherence tomography angiography; RPE:
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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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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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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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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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