2017
DOI: 10.1016/j.compmedimag.2016.05.004
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Retinal vessel segmentation in colour fundus images using Extreme Learning Machine

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Cited by 153 publications
(82 citation statements)
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“…Fundus imaging allows the identification of the main ocular structures, such as the optic disc (OD), optic disc cup (OD-cup), macula region [12], fovea, [13] and blood vessels [14]. This test may also detect abnormal conditions, including microaneurysms, bleeding, exudates, and cotton wool spots [15].…”
Section: Introductionmentioning
confidence: 99%
“…Fundus imaging allows the identification of the main ocular structures, such as the optic disc (OD), optic disc cup (OD-cup), macula region [12], fovea, [13] and blood vessels [14]. This test may also detect abnormal conditions, including microaneurysms, bleeding, exudates, and cotton wool spots [15].…”
Section: Introductionmentioning
confidence: 99%
“…Green channel images are usually used as gray level images in studies realized on retinal images because the green channel of RGB images shows the difference between the blood vessels and the background best [13]. Converting the color image to gray level image with PCA also preserves the texture and color differences of the image [2].…”
Section: Image Preprocessing and Segmentationmentioning
confidence: 99%
“…Additionally, top-hat morphological processing has been used to make vascular structures more prominent [13]. With the use of bottom-line morphological processing and subtraction of these two images from each other also resulted in blood vessels being separated from the background.…”
Section: Image Preprocessing and Segmentationmentioning
confidence: 99%
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“…The boundary of OC is not as clear as OD, and the vascular cross point is always on it, so that OC segmentation is much harder in both manually and automatically. Some methods tried to segment OC with the detection of blood vessel [20] kinks because the 3D structure of OC makes the vessel bend at the boundary in 2D fundus images [4] [3]. The challenge is to find a good initial estimation of the cup boundary and exclude vessel bends from a non-cup boundary.…”
Section: Introductionmentioning
confidence: 99%