Date of Publication :14th August 2017

Abstract: In this paper we present the Red Lesion Detection for diabetic retinopathy in telemedicine context. The method used in this in this paper is the process of morphological image flooding. The development of an automatic telemedicine system for computer-aided screening and grading of diabetic retinopathy depends on reliable detection of retinal lesions in fundus images Signs of DR include red lesions such as microaneurysms and intraretinal hemorrhages, and white lesions, such as exudates and cottonwool spots. This paper concerns only the red lesions, which are among the first unequivocal signs of DR. Therefore, their detection is critical for a prescreening system

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