Microaneurysms detection in color fundus images using machine learning based on directional local contrast

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Automatic Detection of Microaneurysms in Color Fundus Images using a Local Radon Transform Method

Introduction: Diabetic retinopathy (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to DR complications. This paper addresses the automatic detection of microaneurysms (MA...

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Detection of Microaneurysms in Color Fundus Images

Diabetic Retinopathy is an eye disease which occurs due to damage in the retina as a result of long term illness of diabetic mellitus. Microaneurysm detection is the first step in automated screening of diabetic retinopathy. To perform this detection, several methods have been proposed in the diagnosis of diabetic retinopathy. In this paper, initially the pre-processing techniques like gamma co...

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automatic detection of microaneurysms in color fundus images using a local radon transform method

introduction: diabetic retinopathy (dr) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to dr complications. this paper addresses the automatic detection of microaneurysms (ma...

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Detection of Blood Vessels in Color Fundus Images using a Local Radon Transform

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Automatic detection of microaneurysms in color fundus images

This paper addresses the automatic detection of microaneurysms in color fundus images, which plays a key role in computer assisted diagnosis of diabetic retinopathy, a serious and frequent eye disease. The algorithm can be divided into four steps. The first step consists in image enhancement, shade correction and image normalization of the green channel. The second step aims at detecting candid...

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ژورنال

عنوان ژورنال: BioMedical Engineering OnLine

سال: 2020

ISSN: 1475-925X

DOI: 10.1186/s12938-020-00766-3