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Diabetic retinopathy affects the human eye and causes the blindness. For the efficient diagnosis of retinopathy accurate measurement (true vessel structure) of vessel diameter is required for estimating the types of vessels. True approximation of total number of microaneurysms is required for estimating the stages of diabetic retinopathy. This work presents an automated system for detection and prediction...
Diabetes Mellitus (DM) is becoming one of the fastest growing and most common non-infectious diseases in the world today. This has set a huge measure of burden on governments and medical service authorities. As of now, researchers have identified that DM can be recognized in a non-invasive approach through the analysis of human facial blocks. In this paper, a novel way has been proposed to detect...
Diabetic Retinopathy (DR) and its variants are the leading cause of vision loss among people with diabetics and working-age adults. Proliferative Diabetic Retinopathy (PDR) is the advanced stage of DR, which involves the formation of new vessels in the retinal surface. In this paper an algorithm is proposed for the patch wise extraction of texture and vesselness features. The vessel map for the feature...
This Diabetic retinopathy poses a heavy threat to vision. Digital colored structure images can be used for distinguishing the eye structure. They produce a high-quality record of the structured image which is useful for detecting DR as primitive signs. Exudates are considered one in every of the earliest signs of DR. Ant colony optimization technique and Gabor filter approach is used for segmenting...
Diabetic retinopathy is an important branch of ophthalmology. Non - proliferative diabetic retinopathy is used to detect Microaneurysms in the early stage. Microaneurysms are verified through fundus images, where in the fine red-dots near the blood vessels confirm this defect. Conventional methods and their weak resolution seldom can identify to such accuracies. In this work, we present a procedure...
Diabetic retinopathy (DR) is a complication of diabetes and a leading cause of vision loss. DR detection, poor quality retinal image makes more difficult the analysis for ophthalmologist. Automatic segmentation of blood vessels in retina is helpful for ophthalmologists to screen larger populations. This literature presents a new automatic analysis to extract blood vessels with high accuracy. In this...
Recently, researchers have discovered that there are non-invasive ways to detect Diabetes Mellitus based on the analysis of human facial blocks. Even though a few algorithms have been developed to detect Diabetes Mellitus based on facial feature analysis, Diabetes Mellitus detection remains a challenging problem. In this paper, we propose two algorithms to detect Diabetes Mellitus through the analysis...
Millions of people die from Diabetes Mellitus every year. Recently, researchers have discovered that Diabetes Mellitus can be detected in a non-invasive manner through the analysis of human facial blocks. Although algorithms have been developed to detect Diabetes Mellitus using facial block color features, use of its texture features to detect this disease has not been fully investigated. In this...
Diabetes is a serious chronic disease that needs attention. Approximately 15% of all people with diabetes will be affected by a foot ulcer during their lifetime. Diabetic foot ulcers (DFUs) often co-exist with vascular insufficiency and are the major cause of gangrene and amputation in people with diabetes. Risk identification is fundamental for effective preventive management of the foot in people...
This paper presents a new automatic method to extract the retinal blood vessel under various normal or abnormal conditions. Extraction of blood vessels in retina is helpful for ophthalmologists to screen larger populations. The commonly used Gabor filter methods often produce false positive detections of blood vessels. We proposed a method for segmentation of blood vessels using Optimized Gabor filter...
The relationship between change in retinal vessels morphology and progress to detect the signs of diabetic retinopathy in the early stages has been the major subject of ophthalmologists. However, the accurate segmentation and fast detection of vessels to diagnosis disease have been given important role in quality of application. In this paper, in order to capture high frequency information a bank...
Diabetic foot ulcers have an enormous human cost when more than 250 million people are diagnosed with diabetes worldwide. In the etiology of foot ulcers in diabetic patients, it is generally agreed that non-mechanical factors such as peripheral neuropathy, dry skin, and/or vascular problems are often major contributing causes for skin ulceration. That, combined with the absence of “early warning”...
To improve the robust performance to detect hemorrhage lesions in diabetic retinopathy image, a background estimation and vessel exclusion based algorithm is proposed in this paper. Candidate hemorrhages are located by background estimation and Mahalanobis distance, and then on the basis of shape analysis, vessel exclusion is conducted to remove non hemorrhage pixels. Experiments results show that...
The early diagnosis of proliferative diabetic retinopathy (PDR), a common complication of diabetes that damages the retina, is crucial to the protection of the vision of diabetes sufferers. The onset of PDR is signaled by the appearance of neovascular net. Such neovascular nets might be identified using retinal vessel extraction techniques. The commonly used matched filter methods often produce false...
The monitoring of the effects of diabetes, hypertension, and premature birth on the visual system can be assisted by quantitative analysis of the vascular architecture of the retina. The application of image analysis techniques in ophthalmology becomes possible after the desired features have been detected through the use of an appropriate method. We propose image processing techniques for the detection...
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