Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing

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[Diabetic retinopathy and maculopathy].

Diabetic retinopathy and maculopathy usually develop and progress without symptoms. Fundus screening is mandatory, since only advanced stages cause symptoms. Signs and symptoms that suggest the development of retinopathy are: ▶ sudden drop of visual acuity ▶ non-correctable drop of visual acuity If the macula is affected: ▶ impaired vision ▶ impaired colour vision ▶ blurred vision ▶ “floaters” ...

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Automatic diabetic retinopathy classification

Diabetic retinopathy (DR) is a disease in which the retina is damaged due to augmentation in the blood pressure of small vessels. DR is the major cause of blindness for diabetics. It has been shown that early diagnosis can play a major role in prevention of visual loss and blindness. This work proposes a computer based approach for the detection of DR in back-of-the-eye images based on the use ...

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Early Detection of Diabetic Retinopathy in Fluorescent Angiography Retinal Images Using Image Processing Methods

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...

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Automatic Diabetic Assessment System for Diabetic Retinopathy Using Image Analysis

Diabetic retinopathy is the leading disease that occurs due to the diabetic mellitus. Several computer aided diagnosis helps ophthalmologists to diagnosis the severity of retinopathy but still the annual screening of retinal images is very important to detect diabetic retinopathy by an automatic assessment system for analyzing the images through region based method, filtering techniques, templa...

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Automatic Diagnosis of Diabetic Retinopathy from Fundus Images Using Digital Signal and Image Processing Techniques

Automatic diagnosis and display of diabetic retinopathy from images of retina using the techniques of digital signal and image processing is presented in this paper. The acquired images undergo pre-processing to equalize uneven illumination associated with the acquired fundus images. This stage also removes noise present in the image. Segmentation stage clusters the image into two distinct clas...

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ژورنال

عنوان ژورنال: Brain Informatics

سال: 2016

ISSN: 2198-4018,2198-4026

DOI: 10.1007/s40708-016-0045-3