Development and comparison of automated classifiers for glaucoma diagnosis using Stratus optical coherence tomography.
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Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT.Combining nerve fiber layer parameters to optimize glaucoma diagnosis with optical coherence tomography.An analysis of normal variations in retinal nerve fiber layer thickness profiles measured with optical coherence tomographyThe location of the inferior and superior temporal blood vessels and interindividual variability of the retinal nerve fiber layer thickness.Ability of cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes.Age and axial length on peripapillary retinal nerve fiber layer thickness measured by optical coherence tomography in nonglaucomatous Taiwanese participants.Integration and fusion of standard automated perimetry and optical coherence tomography data for improved automated glaucoma diagnostics.Heidelberg Retina Tomograph 3 machine learning classifiers for glaucoma detection.Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurementsCombining spectral domain optical coherence tomography structural parameters for the diagnosis of glaucoma with early visual field loss.Reproducibility of macular ganglion cell-inner plexiform layer thickness measurement with cirrus HD-OCT in normal, hypertensive and glaucomatous eyes.Retinal nerve fibre thickness measured with optical coherence tomography accurately detects confirmed glaucomatous damage.Imaging of the retinal nerve fibre layer with spectral domain optical coherence tomography for glaucoma diagnosis.Diagnostic Ability of Retinal Nerve Fiber Layer Thickness Deviation Map for Localized and Diffuse Retinal Nerve Fiber Layer DefectsAssessing visual field clustering schemes using machine learning classifiers in standard perimetry.Diagnostic ability of retinal nerve fiber layer maps to detect localized retinal nerve fiber layer defectsReproducibility of peripapillary retinal nerve fiber layer thickness measured by spectral domain optical coherence tomography in pseudophakic eyesSignal strength is an important determinant of accuracy of nerve fiber layer thickness measurement by optical coherence tomography.Glaucoma history and risk factorsGlaucoma Diagnosis and Monitoring Using Advanced Imaging Technologies.Knowledge discovery from patients' behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services.Artificial neural network techniques to improve the ability of optical coherence tomography to detect optic neuritis.Construct an optimal triage prediction model: a case study of the emergency department of a teaching hospital in Taiwan.Detection of macular ganglion cell loss in preperimetric glaucoma patients with localized retinal nerve fibre defects by spectral-domain optical coherence tomography.Nerve Fiber Flux Analysis Using Wide-Field Swept-Source Optical Coherence Tomography.Comparison of ability of time-domain and spectral-domain optical coherence tomography to detect diffuse retinal nerve fiber layer atrophy.Application of optical coherence tomography in glaucoma suspect eyes.
P2860
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P2860
Development and comparison of automated classifiers for glaucoma diagnosis using Stratus optical coherence tomography.
description
2005 nî lūn-bûn
@nan
2005 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Development and comparison of ...... optical coherence tomography.
@ast
Development and comparison of ...... optical coherence tomography.
@en
type
label
Development and comparison of ...... optical coherence tomography.
@ast
Development and comparison of ...... optical coherence tomography.
@en
prefLabel
Development and comparison of ...... optical coherence tomography.
@ast
Development and comparison of ...... optical coherence tomography.
@en
P356
P1476
Development and comparison of ...... optical coherence tomography.
@en
P2093
Hsin-Yi Chen
Mei-Ling Huang
P304
P356
10.1167/IOVS.05-0069
P407
P577
2005-11-01T00:00:00Z