Diabetic Exudate Detection in Color Retinal Images
نویسندگان
چکیده
منابع مشابه
Exudate detection in color retinal images for mass screening of diabetic retinopathy
The automatic detection of exudates in color eye fundus images is an important task in applications such as diabetic retinopathy screening. The presented work has been undertaken in the framework of the TeleOphta project, whose main objective is to automatically detect normal exams in a tele-ophthalmology network, thus reducing the burden on the readers. A new clinical database, e-ophtha EX, co...
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Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...
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Advances in medical device technology have resulted in a plethora of devices that sense, record, transform and process digital data. Images are a key form of diagnostic data, and many devices have been designed and deployed that capture high-resolution in-vivo images in different parts of the spectrum. Computers have enabled complex forms of reconstruction of cross-sectional/ 3D structure (and ...
متن کاملImage Analysis for Exudate Detection in Retinal Images
Diabetic retinopathy is recognised as one of the most common causes of blindness (Aiello et al., 1998). It can however be diagnosed early based on various features that can be detected in eye fundus images. One of these indicators is exudates which are typically formed in groups or rings surrounding leakage of plasma and often appear yellowish in the image. An example of a retinal image with ex...
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Exudates are the primary sign of Diabetic Retinopathy. Early detection can potentially reduce the risk of blindness. An automatic method to detect exudates from low-contrast digital images of retinopathy patients with non-dilated pupils using a Fuzzy C-Means (FCM) clustering is proposed. Contrast enhancement preprocessing is applied before four features, namely intensity, standard deviation on ...
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ژورنال
عنوان ژورنال: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
سال: 2019
ISSN: 2277-3061
DOI: 10.24297/ijct.v19i0.8377