Computerised Retinal Image Analysis to Detect and Quantify Exudates Associated with Diabetic Retinopathy

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Automated Segmentation of Hard Exudates Using Dynamic Thresholding to Detect Diabetic Retinopathy in Retinal Photographs

Retinal images are in use by ophthalmologists for the clinical analysis and diagnosis of different retinal diseases. The ocular disease known as Diabetic Retinopathy (DR) is a retinal disease that causes microvascular changes in the eye retina. Hard Exudates (HE) a retinal lesion can be seen as bright yellowish spots in colored fundus photograph and as bright white blobs in red free fundus imag...

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Comments on Retinal Sensitivity Over Hard Exudates in Diabetic Retinopathy

455 Dear Editor, We read with interest the article “Retinal Sensitivity over Hard Exudates in Diabetic Retinopathy” by Raman et al.[1] The authors analyzed 12 eyes with diabetic retinopathy with hard exudates using microperimetry. They found reduced retinal sensitivity in the areas of hard exudates which correlated negatively with retinal thickness, but not with the size of exudation. We would ...

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Retinal Sensitivity over Hard Exudates in Diabetic Retinopathy

PURPOSE To evaluate retinal sensitivity over hard exudates in correlation with the spectral domain optical coherence tomography (SD-OCT) findings in eyes with diabetic retinopathy. METHODS Twelve eyes of 10 patients with hard exudates associated with diabetic retinopathy were enrolled in this study. All subjects underwent a complete ophthalmic examination including SD-OCT (Copernicus, Zawierc...

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Automatic Exudates Detection from Non-dilated Diabetic Retinopathy Retinal Image Using Fuzzy C-means Clustering

Exudates are the primary signs of diabetic retinopathy which are mainly cause of blindness. It could be prevented with an early screening process. Pupil dilation is required in the normal screening process but this affects patients’ vision. Automatic computerized screening should facilitate screening process, reduce inspection time and increase accuracy. In this paper we proposed an automatic m...

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Retinal image analysis based on mixture models to detect hard exudates

Diabetic Retinopathy is one of the leading causes of blindness in developed countries. Hard exudates have been found to be one of the most prevalent earliest clinical signs of retinopathy. Thus, automatic detection of hard exudates from retinal images is clinically significant. In this study, an automatic method to detect hard exudates is proposed. The algorithm is based on mixture models to dy...

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ژورنال

عنوان ژورنال: International Journal of Computer Applications

سال: 2012

ISSN: 0975-8887

DOI: 10.5120/8536-2077