Analysis of Diabetic Retinopathy by Detecting Exudates in the Retinal image
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منابع مشابه
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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Introduction: Diabetic retinopathy (DR) is the single largest cause of sight loss and blindness in the working age population of Western countries; it is the most common cause of blindness in adults between 20 and 60 years of age. Early diagnosis of DR is critical for preventing vision loss so early detection of microaneurysms (MAs) as the first signs of DR is important. This paper addresses th...
متن کاملRetinal 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...
متن کاملAutomatic 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...
متن کاملRetinal Image Analysis for Exudates Detection
This project proposes a glaucomatous image classification using texture features within images and it will be classified effectively based on feature ranking and neural network. In addition with, an efficient detection of exudates for retinal vasculature disorder analysis performed. The states of retinal blood vessels can be used to detect some diseases like diabetes. The important texture feat...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2018
ISSN: 0975-8887
DOI: 10.5120/ijca2018917290