A hybrid visual field classifier to support early glaucoma diagnosis
نویسندگان
چکیده
منابع مشابه
Early detection of visual field progression in glaucoma: a comparison
Aim—To compare the performance of PROGRESSOR (pointwise linear regression) and STATPAC 2 (comparison with baseline values) in detecting early deterioration in the visual fields of glaucoma patients. Methods—Visual field series from 19 untreated normal tension glaucoma eyes which were deteriorating on clinical grounds were analysed by PROGRESSOR and STATPAC 2. Progression criteria for PROGRESSOR...
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Over recent years strategies used to combat the disease have included screening programmes, information to the population, the identification of populations at risk and the distribution of information between the various links in the health chain, from the GP or family doctor through to hospital professionals, not forgetting, first and foremost, opticians and optometrists, who are in direct con...
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Early diagnosis and treatment of glaucoma is important to reduce the risk of progressive and irreversible visual loss. The key to diagnosis is recognition of morphological changes to the optic nerve head and retinal nerve fiber layer, but in some patients, functional abnormalities are detected first. This review describes recent innovations with the potential to improve the early detection of g...
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PURPOSE To investigate the suitability of the visual field index (VFI) in different degrees of disease severity in glaucoma patients. METHODS In this cross-sectional study, we consecutively enrolled patients with primary open-angle glaucoma and glaucoma suspects (ocular hypertension). All eyes required a reliable standard automated perimetry (SAP) test to be included. Subjects were categorize...
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ژورنال
عنوان ژورنال: INTELIGENCIA ARTIFICIAL
سال: 2006
ISSN: 1988-3064,1137-3601
DOI: 10.4114/ia.v9i26.841