Results 11 to 20 of about 9,577 (215)
Microaneurysms detection in color fundus images using machine learning based on directional local contrast [PDF]
Background As one of the major complications of diabetes, diabetic retinopathy (DR) is a leading cause of visual impairment and blindness due to delayed diagnosis and intervention. Microaneurysms appear as the earliest symptom of DR.
Shengchun Long +5 more
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EARLY DIAGNOSIS OF DIABETIC RETINOPATHY BY THE DETECTION OF MICROANEURYSMS IN FUNDUS IMAGES [PDF]
The detection of microaneurysms is crucial, as it is an early indicator of a complication of prolonged diabetes called Diabetic Retinopathy. In this paper, an automated approach is proposed to detect microaneurysms from retinal fundus images.
Jeline Devadhas, R Binisha
doaj +2 more sources
Purpose: To report two cases of diabetic macular edema (DME) treated with intravitreal faricimab injections (IVFs), including the assessment of retinal microaneurysms and extent of retinal capillary non-perfusion using fluorescein angiography (FA) and ...
Miki Sawa +3 more
doaj +2 more sources
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
Background Convolution neural networks have been considered for automatic analysis of fundus images to detect signs of diabetic retinopathy but suffer from low sensitivity.
Parham Khojasteh +2 more
doaj +2 more sources
Objective ‒ to evaluate the effectiveness of endovascular treatment methods in patients with cerebral artery microaneurysms at different stages of the disease, based on the analysis of procedural complications and the radicality of aneurysm occlusion, as
D.V. Shchehlov +4 more
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A Method for Diagnosing Diabetic Retinopathy Based on Ocular Fundus Imaging
Introduction. Diabetic retinopathy is a complication of diabetes mellitus caused by high blood sugar levels damaging the retina. Diabetic retinopathy leads to changes in ocular blood vessels and the appearance of solid exudates and microaneurysms.
N. T. Tuyen, T. T. Huu
doaj +1 more source
An Enhanced Residual U-Net for Microaneurysms and Exudates Segmentation in Fundus Images
Diabetic retinopathy (DR) is a leading cause of visual blindness. However if DR can be diagnosed and treated early, 90% of DR causing blindness can be prevented significantly. Microaneurysms (MAs) and exudates (EXs), as signs of DR, can be used for early
Caixia Kou +3 more
doaj +1 more source
A Novel Diabetic Retinopathy Detection Approach Based on Deep Symmetric Convolutional Neural Network
Diabetic Retinopathy (DR) may lead to blindness in diabetic patients, which is one of the most severe eye diseases. Therefore, using automatical technology to detect DR at the early phase has very vital clinical significance.
Tieyuan Liu +6 more
doaj +1 more source
Purpose The aim of this study was to evaluate the changes in retinal vascular plexuses and choriocapillaris in type-2 diabetes mellitus (DM) patients without clinical diabetic retinopathy (DR) and to compare them with healthy controls and to identify ...
Malak I ElShazly +3 more
doaj +1 more source
Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs. [PDF]
Contains fulltext : 89373.pdf (Publisher’s version ) (Open Access)The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common complication ...
Li, Q. +86 more
core +2 more sources

