(A) Nine macular sectors of every single retinal layer in spectral-domain optical coherence tomography. The superior outer macula, superior inner macula, fovea, inferior inner macula and inferior outer macula were used for analysis. (B) Infrared reflectance image of the macular region. (C) Segmented macular ganglion cell layers in B scan images. ** SIM: superior inner macula, IIM: inferior inner macula, TIM: temporal inner macula, NIM: nasal inner macula; SOM: superior outer macula, IOM: inferior outer macula, TOM: temporal outer macula, NOM: nasal outer macula, fo: fovea, mRNFL: macular retinal nerve fiber layer, mGCL: macular ganglion cell layer.</p
ObjectiveTo evaluate the inter-rater reliability of semiautomated segmentation of spectral domain op...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
PURPOSE. To develop a software algorithm to perform automated segmentation of retinal layer structur...
<p>Retinal thickness analysis protocol showing mean thicknesses for each of eight subfields: scan ar...
Commercially-available optical coherence tomography (OCT) systems (e.g., Stratus OCT-3) only segment...
Also shown are the total retinal thickness (TRT) measurement, and the individual layer thickness mea...
© Springer International Publishing Switzerland 2015.Spectral-Domain Optical Coherence Tomography (S...
To obtain a de novo map of outer photoreceptor layer (OPRL) thickness using a semiautomatic segmenta...
<p><b>Representative optical coherence tomography (OCT) horizontal scan section of the macula of a n...
<p>(A) Orange segmentation lines define the ganglion cell layer and inner plexiform layer (GCIP), th...
<p>(Left column) Color-coded retinal thickness maps were generated by the built-in software of the d...
<p>Single horizontal foveal scans were automatically performed using new prototype software for the ...
<div><p>Objective</p><p>To analyse the morphological features and diagnostic ability of eight macula...
To develop EdgeSelect, a semi-automatic method for the segmentation of retinal layers in spectral do...
Purpose: To develop EdgeSelect, a semi-automatic method for the segmentation of retinal layers in sp...
ObjectiveTo evaluate the inter-rater reliability of semiautomated segmentation of spectral domain op...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
PURPOSE. To develop a software algorithm to perform automated segmentation of retinal layer structur...
<p>Retinal thickness analysis protocol showing mean thicknesses for each of eight subfields: scan ar...
Commercially-available optical coherence tomography (OCT) systems (e.g., Stratus OCT-3) only segment...
Also shown are the total retinal thickness (TRT) measurement, and the individual layer thickness mea...
© Springer International Publishing Switzerland 2015.Spectral-Domain Optical Coherence Tomography (S...
To obtain a de novo map of outer photoreceptor layer (OPRL) thickness using a semiautomatic segmenta...
<p><b>Representative optical coherence tomography (OCT) horizontal scan section of the macula of a n...
<p>(A) Orange segmentation lines define the ganglion cell layer and inner plexiform layer (GCIP), th...
<p>(Left column) Color-coded retinal thickness maps were generated by the built-in software of the d...
<p>Single horizontal foveal scans were automatically performed using new prototype software for the ...
<div><p>Objective</p><p>To analyse the morphological features and diagnostic ability of eight macula...
To develop EdgeSelect, a semi-automatic method for the segmentation of retinal layers in spectral do...
Purpose: To develop EdgeSelect, a semi-automatic method for the segmentation of retinal layers in sp...
ObjectiveTo evaluate the inter-rater reliability of semiautomated segmentation of spectral domain op...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
PURPOSE. To develop a software algorithm to perform automated segmentation of retinal layer structur...