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This paper addresses the problem of automatic classification of OCT images for identification of patients with DME versus normal subjects. In this paper a relativity simple and practical approach is proposed to exploit the information in OCT images for a robust classification of Diabetic Macular Edema (DME) using coherent tensors. From the retinal OCT scan top and bottom layers are extracted to find...
Malarial Retinopathy is an eye disease which affects retina of a patient suffering from malaria. The changes in vision are only observable at advanced stages of malaria. In this paper, we present a novel method for automated diagnosis of malarial retinopathy by detecting retinal whitening, cotton wool spots and Hemorrhages cases. The proposed system extracts a number of features to differentiate normal...
Papilledema is the swelling of the optic disc. It is a symptom of several diseases including some life-threatening diseases as well. Therefore it needs to be detected as soon as possible. If it is not detected on time and reaches its final stage, it can also lead to permanent vision loss. In this paper, we have given a simple and efficient method to automatically detect papilledema through fundus...
Microaneurysms (MAs) are the first visible sign of diabetic retinopathy (DR), a retinal abnormality which may lead to blindness in diabetes patients. In time and precise MAs detection is very important for early diagnosis of DR and can save patient's vision. In this paper, we present an automated system for accurate and reliable detection of MAs. The proposed system consists of preprocessing, feature...
Age related macular degeneration (ARMD) is an eye abnormality due to deposits of drusen on the retina and the disease may cause severe blindness. Early detection of ARMD using a computerized system can save patient's vision. The ophthalmologists can find this system useful for screening of ARMD. This paper presents a novel method for accurate detection of drusen in colored retinal images. The system...
The automated detection and diagnosis of Diabetic Retinopathy (DR) is very critical to save the patient's vision and to help the ophthalmologists in mass screening of diabetes sufferers. DR is a progressive eye disease and should be detected as early as possible. In this paper, we present a new system for detection and classification of different DR lesions i.e. Microaneurysms (MAs), Haemorrhage (H),...
In medical imaging, digital images are analyzed to develop computer aided diagnostic (CAD) systems using state of the art image processing and pattern recognition techniques. Diabetic maculopathy is one of the retinal abnormalities in which diabetic patient suffers from severe vision loss due to affected macula. In this paper, we propose an automated system for the grading of diabetic maculopathy...
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