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Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
Detection and diabetic retinopathy grading using digital retinal images
Diabetic Retinopathy is an eye disorder that affects people suffering from diabetes. Higher
sugar levels in blood leads to damage of blood vessels in eyes and may even cause …
sugar levels in blood leads to damage of blood vessels in eyes and may even cause …
DDNet: diabetic retinopathy detection system using skip connection-based upgraded feature block
Diabetic retinopathy is an eye disease that damages the retina caused by diabetes. It affects
the eye and eventually impairs vision either completely or partially due to sugar levels …
the eye and eventually impairs vision either completely or partially due to sugar levels …
A review on computer-aided recent developments for automatic detection of diabetic retinopathy
Diabetic retinopathy is a serious microvascular disorder that might result in loss of vision and
blindness. It seriously damages the retinal blood vessels and reduces the light-sensitive …
blindness. It seriously damages the retinal blood vessels and reduces the light-sensitive …
Detection of high-risk macular edema using texture features and classification using SVM classifier
In digital retinal images, positive means of texture feature detection around the macula
region with specified radius is still an open issue. Diabetic macular edema is a complication …
region with specified radius is still an open issue. Diabetic macular edema is a complication …
Automatic computer vision-based detection and quantitative analysis of indicative parameters for grading of diabetic retinopathy
Diabetic retinopathy (DR) is one of the complications of diabetes affecting the eyes. If not
treated at an early stage, then it can cause permanent blindness. The present work …
treated at an early stage, then it can cause permanent blindness. The present work …
Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases
Background and objectives The authentication and integrity verification of medical images is
a critical and growing issue for patients in e-health services. Accurate identification of …
a critical and growing issue for patients in e-health services. Accurate identification of …
Automated segmentation of blood vessels in retinal images based on entropy weighted thresholding
Automated extraction of retinal vasculature is becoming a crucial task during the study of
pathological disorders present in the retinal fundus image. In this work, we propose an …
pathological disorders present in the retinal fundus image. In this work, we propose an …
Automated method for hierarchal detection and grading of diabetic retinopathy
This paper proposes an automated method for comprehensive detection and grading of non-
proliferative diabetic retinopathy (NPDR) taking all DR abnormalities into consideration …
proliferative diabetic retinopathy (NPDR) taking all DR abnormalities into consideration …
NDC-IVM: An automatic segmentation of optic disc and cup region from medical images for glaucoma detection
Glaucoma is an eye disease that usually occurs with the increased Intra-Ocular Pressure
(IOP), which damages the vision of eyes. So, detecting and classifying Glaucoma is an …
(IOP), which damages the vision of eyes. So, detecting and classifying Glaucoma is an …