Deep learning techniques for diabetic retinopathy classification: A survey
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …
[HTML][HTML] 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 …
Automatic severity classification of diabetic retinopathy based on densenet and convolutional block attention module
Diabetic Retinopathy (DR)-a complication developed due to heightened blood glucose
levels-is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is …
levels-is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is …
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images
We developed a contour detection based image processing algorithm based on Mamdani
(Type-2) fuzzy rules for detection of blood vessels in retinal fundus images. The method …
(Type-2) fuzzy rules for detection of blood vessels in retinal fundus images. The method …
Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis
The first diagnosis of diabetic retinopathy (DR) must include lesion segmentation. As it takes
a lot of time and effort to label lesions, automatic segmentation methods have to be created …
a lot of time and effort to label lesions, automatic segmentation methods have to be created …
Hybrid retinal image enhancement algorithm for diabetic retinopathy diagnostic using deep learning model
Diabetic Retinopathy (DR) is a prevalent acute stage of diabetes mellitus that causes vision-
effecting abnormalities on the retina. This will cause blindness if not identified early …
effecting abnormalities on the retina. This will cause blindness if not identified early …
A lightweight robust deep learning model gained high accuracy in classifying a wide range of diabetic retinopathy images
Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood
vessel damage can lead to vision loss and blindness if not recognized at an early stage …
vessel damage can lead to vision loss and blindness if not recognized at an early stage …
[HTML][HTML] Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
LK Ramasamy, SG Padinjappurathu, S Kadry… - PeerJ computer …, 2021 - peerj.com
Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder
characterized by high blood sugar. Diabetes complications are leading to Diabetic …
characterized by high blood sugar. Diabetes complications are leading to Diabetic …
[PDF][PDF] Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images.
Retinopathy is an eye disease caused by diabetes, and early detection and treatment can
potentially reduce the risk of blindness in diabetic retinopathy sufferers. Using retinal Fundus …
potentially reduce the risk of blindness in diabetic retinopathy sufferers. Using retinal Fundus …
[PDF][PDF] A hybrid svm naïve-bayes classifier for bright lesions recognition in eye fundus images
In recent years, much attention has been provided to developing the systems used for
making medical diagnosis. That is because there are various developments made in the …
making medical diagnosis. That is because there are various developments made in the …