Diabetic Retinopathy Grading by Digital Curvelet Transform

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Diabetic Retinopathy Grading by Digital Curvelet Transform

One of the major complications of diabetes is diabetic retinopathy. As manual analysis and diagnosis of large amount of images are time consuming, automatic detection and grading of diabetic retinopathy are desired. In this paper, we use fundus fluorescein angiography and color fundus images simultaneously, extract 6 features employing curvelet transform, and feed them to support vector machine...

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Microaneurysms (MAs) are known to be the early signs of diabetic retinopathy (DR). An automated MA detection system based on curvelet transform is proposed for color fundus image analysis. Candidates of MA were extracted in two parallel steps. In step one, blood vessels were removed from preprocessed green band image and preliminary MA candidates were selected by local thresholding technique. I...

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Grading diabetic retinopathy (DR) using the Scottish grading protocol

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Grading Fundus Images for Diabetic Retinopathy

Diabetic Retinopathy (DR) is an anomaly, found commonly among diabetic patients, which can lead to blindness if left untreated for a long period of time. Early detection of the complication, leads to better probability of cure. Lesions and cotton wool spots in retinal images, are the symptoms that help in the early detection of DR. Due to these lesions the image features will change throughout ...

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ژورنال

عنوان ژورنال: Computational and Mathematical Methods in Medicine

سال: 2012

ISSN: 1748-670X,1748-6718

DOI: 10.1155/2012/761901