The Contour Extraction of Cup in Fundus Images for Glaucoma Detection
نویسندگان
چکیده
منابع مشابه
Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis
We propose a machine learning framework based on sliding windows for glaucoma diagnosis. In digital fundus photographs, our method automatically localizes the optic cup, which is the primary structural image cue for clinically identifying glaucoma. This localization uses a bundle of sliding windows of different sizes to obtain cup candidates in each disc image, then extracts from each sliding w...
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-----------------------------------------------ABSTRACT---------------------------------------------------------GLAUCOMA is a group of diseases that can damage the eye’s optic nerve and result in vision loss and permanent blindness. Glaucoma is a disease characterized by elevated intraocular pressure (IOP). This increased IOP leads to damage of optic nerve axons at the back of the eye, with eve...
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Glaucoma is a pathological condition, progressive neurodegeneration of the optic nerve, which causes vision loss. The damage to the optic nerve occurs due to the increase in pressure within the eye. Glaucoma is evaluated by monitoring intra ocular pressure (IOP), visual field and the optic disc appearance (cup-to-disc ratio). Cup-to disc ratio (CDR) is normally a time invariant feature. Therefo...
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Glaucoma as a neurodegeneration of the optic nerve is one of the most common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and wid...
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ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2016
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v6i6.pp2797-2804