A neural model of perimetry in glaucoma
نویسندگان
چکیده
منابع مشابه
Interpretation of automated perimetry for glaucoma by neural network.
PURPOSE Neural networks were trained to interpret the visual fields from an automated perimeter. The authors evaluated the reliability of the trained neural networks to discriminate between normal eyes and eyes with glaucoma. METHODS Inclusion criteria for glaucomatous and normal eyes were the intraocular pressure and the appearance of the optic nerve; previous visual fields were not used. Th...
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Oculokinetic perimetry is a new method of visual field assessment in which the patient moves the eye around a central static target to look sequentially at an array of numbers. When fixation on a number is accompanied by disappearance of the central target, that number is deleted from a recording chart. Inversion of the recording chart gives a plot of the central visual field. In this study we ...
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PURPOSE This study investigated multifocal pupillographic objective perimetry (mfPOP) stimuli that target the intrinsic photosensitivity of melanopsin retinal ganglion cells. The diagnostic potential for glaucoma is compared between stimuli biased toward either cone input to these cells or their melanopsin response. METHODS Nineteen glaucoma patients and 24 normal subjects were tested using m...
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متن کاملMotion Coherence Perimetry in Glaucoma and Suspected Glaucoma
Motion direction sensitivity in glaucoma patients, glaucoma suspects and controls was assessed perimetrically at 22 visual field locations using small random dot kinematograms and a motion coherence task. For foveal stimulus presentations, mean motion coherence sensitivity was normal in both patient groups. However, nearly all glaucoma patients and about half of glaucoma suspects (all with norm...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2002
ISSN: 1534-7362
DOI: 10.1167/2.10.98