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Image processing with ImageJ
TLDR
ImageJ, an open source Java-written program that is now at version 1.31 and is used for many imaging applications, including those that that span the gamut from skin analysis to neuroscience. Expand
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Ridge-based vessel segmentation in color images of the retina
TLDR
A method is presented for automated segmentation of vessels in two-dimensional color images of the retina. Expand
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Comparative study of retinal vessel segmentation methods on a new publicly available database
TLDR
A large number of methods for retinal vessel segmentation have been published, yet an evaluation of these methods on a common database of screening images has not been performed. Expand
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Automatic detection of red lesions in digital color fundus photographs
TLDR
The robust detection of red lesions in digital color fundus photographs is a critical step in the development of automated screening systems for diabetic retinopathy. Expand
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Retinal Imaging and Image Analysis
Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses onExpand
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Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
TLDR
The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy, a common complication of diabetes. Expand
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Retinal Imaging and Image Analysis.
Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses onExpand
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Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images
TLDR
We report a graph-theoretic segmentation method for the simultaneous segmentation of multiple 3-D surfaces that is guaranteed to be optimal with respect to the cost function and that is directly applicable to spectral OCT image data. Expand
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Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs
TLDR
A decreased ratio of the width of retinal arteries to veins [arteriolar-to-venular diameter ratio (AVR)], is well established as predictive of cerebral atrophy, stroke and other cardiovascular events. Expand
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Fast detection of the optic disc and fovea in color fundus photographs
TLDR
A fully automated, fast method to detect the fovea and the optic disc in digital color photographs of the retina is presented. Expand
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