Recent development on detection methods for the diagnosis of diabetic retinopathy
Diabetic retinopathy (DR) is a complication of diabetes that exists throughout the world. DR
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics
Diabetic retinopathy (DR) is a fast-spreading disease across the globe, which is caused by
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
Retinal fundus image analysis (RFIA) for diabetic retinopathy (DR) screening can be used to
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
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 …
A hybrid algorithm to enhance colour retinal fundus images using a Wiener filter and CLAHE
MJ Alwazzan, MA Ismael, AN Ahmed - Journal of Digital Imaging, 2021 - Springer
Digital images used in the field of ophthalmology are among the most important methods for
automatic detection of certain eye diseases. These processes include image enhancement …
automatic detection of certain eye diseases. These processes include image enhancement …
A systematic review on physiological-based biometric recognition systems: current and future trends
Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …
physiological traits. This article presents recent advances in physiological-based biometric …
Detection of early signs of diabetic retinopathy based on textural and morphological information in fundus images
Estimated blind people in the world will exceed 40 million by 2025. To develop novel
algorithms based on fundus image descriptors that allow the automatic classification of …
algorithms based on fundus image descriptors that allow the automatic classification of …
Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
A survey on recent developments in diabetic retinopathy detection through integration of deep learning
S Agarwal, A Bhat - Multimedia Tools and Applications, 2023 - Springer
Diabetes, nowadays, is a very common disease throughout the world among people of all
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …