Exudates Detection Using Morphology Mean Shift Algorithm in Retinal Images
نویسندگان
چکیده
منابع مشابه
Automatic Detection of Exudates in Retinal Images Using Neural Network
Diabetic Retinopathy (DR) is one of the major complications of diabetes mellitus and can cause blindness. The diagnosis of DR is performed by visual analysis of retinal images, with exudates (fat deposits) being the main patterns traced by a specialist doctor. Thus, this paper proposes an algorithm for exudate detection in retinal images, whose experimental validation is performed on a public i...
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Diabetic retinopathy is a complication of diabetes that is caused by changes in the blood vessels of the retina. The symptoms can blur or distort the patient's vision and are a main cause of blindness. Exudates are one of the primary signs of diabetic retinopathy. Detection of exudates by ophthalmologists normally requires pupil dilation using a chemical solution which takes time and affects pa...
متن کاملAutomatic Detection of Exudates in Digital Retinal Images
Exudate is one of the serious complications and a major cause of blindness in diabetic retinopathy patients. Nowadays, the digital retinal image is frequently used to follow-up and diagnoses eye diseases. Therefore, the retinal image is crucial and essential for expert to detect of exudates. Unfortunately, the retinal images in Thailand are poor quality image. Detecting exudates in a large numb...
متن کاملNeural network based detection of hard exudates in retinal images
Diabetic retinopathy (DR) is an important cause of visual impairment in developed countries. Automatic recognition of DR lesions in fundus images can contribute to the diagnosis of the disease. The aim of this study is to automatically detect one of these lesions, hard exudates (EXs), in order to help ophthalmologists in the diagnosis and follow-up of the disease. We propose an algorithm which ...
متن کاملHierarchical Detection of Hard Exudates in Color Retinal Images
Diabetic retinopathy (DR) is one of the common causes of blindness, and hard exudates (HEs) are the primary and early clinical signs of DR. Thus, a reliable detection of HEs is significant for clinical diagnosis and preventing vision loss of patients. In this paper, a novel method is presented to detect HEs automatically in color retinal images. The method consists of two stages: coarse level a...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2018.2890426