<p><b>a</b>: Largest AROC (94.3 [CI: 91.1–97.6] %) was obtained using the mRNFL grid with reference 82 (highlighted red). <b>b</b>: Largest AROC (91.2 [CI: 87.3–95.1] %) was obtained using the GCIPL grid with reference 62 (highlighted red). OCT: optical coherent tomography, AROC: area under the receiver operating characteristic curve, mRNFL: macular retinal nerve fiber layer, GCIPL: ganglion cell layer -inner plexiform layer combined. CI: 95% confidence interval.</p
The main purpose of this study was to assess the differences in the peripapillary retinal nerve fibe...
We aimed to evaluate methods of extracting optical coherence tomography (OCT)-derived macular gangli...
PURPOSE. To develop a software algorithm to perform automated segmentation of retinal layer structur...
<p>AROC: Area Under the Receiver Operating Characteristic Curve, SD-OCT: spectral domain optical coh...
<p>P-values comparing areas under the receiver operating characteristic curves for mGCIPL versus cpR...
<p>Measurement of macular ganglion cell inner plexiform layer (mGCIPL), ganglion cell complex (mGCC)...
The used protocols are shown on a retina image of a right eye (N: nasal; T: temporal; S: superior; I...
To determine glaucoma-discriminating abilities of macular and circumpapillary retinal nerve fiber la...
AIM: To evaluate the ability of macular ganglion cell complex (GCC) thickness using Fourier domain o...
PurposeTo determine glaucoma-discriminating abilities of macular and circumpapillary retinal nerve f...
<p>Demographics and ocular data including macular ganglion cell layer plus inner plexiform layer (mG...
<p>Abbreviations: SS-OCT = swept source optic coherence tomography; SD-OCT = spectral domain optic c...
<p><b>a</b>: Macular area centered on the fovea (6×6 mm) and mRNFL and GCIPL grids. The mRNFL and GC...
Purpose: To compare various displacement models using midget retinal ganglion cell to cone (mRGC:C) ...
To evaluate the diagnostic accuracy of Topcon 3D spectral-domain optical coherence tomography (SD-OC...
The main purpose of this study was to assess the differences in the peripapillary retinal nerve fibe...
We aimed to evaluate methods of extracting optical coherence tomography (OCT)-derived macular gangli...
PURPOSE. To develop a software algorithm to perform automated segmentation of retinal layer structur...
<p>AROC: Area Under the Receiver Operating Characteristic Curve, SD-OCT: spectral domain optical coh...
<p>P-values comparing areas under the receiver operating characteristic curves for mGCIPL versus cpR...
<p>Measurement of macular ganglion cell inner plexiform layer (mGCIPL), ganglion cell complex (mGCC)...
The used protocols are shown on a retina image of a right eye (N: nasal; T: temporal; S: superior; I...
To determine glaucoma-discriminating abilities of macular and circumpapillary retinal nerve fiber la...
AIM: To evaluate the ability of macular ganglion cell complex (GCC) thickness using Fourier domain o...
PurposeTo determine glaucoma-discriminating abilities of macular and circumpapillary retinal nerve f...
<p>Demographics and ocular data including macular ganglion cell layer plus inner plexiform layer (mG...
<p>Abbreviations: SS-OCT = swept source optic coherence tomography; SD-OCT = spectral domain optic c...
<p><b>a</b>: Macular area centered on the fovea (6×6 mm) and mRNFL and GCIPL grids. The mRNFL and GC...
Purpose: To compare various displacement models using midget retinal ganglion cell to cone (mRGC:C) ...
To evaluate the diagnostic accuracy of Topcon 3D spectral-domain optical coherence tomography (SD-OC...
The main purpose of this study was to assess the differences in the peripapillary retinal nerve fibe...
We aimed to evaluate methods of extracting optical coherence tomography (OCT)-derived macular gangli...
PURPOSE. To develop a software algorithm to perform automated segmentation of retinal layer structur...