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 …
A survey on deep-learning-based diabetic retinopathy classification
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …
increasing recently. It affects people of all ages. People who have had diabetes for a long …
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 …
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) is a significant cause of blindness globally, highlighting the
urgent need for early detection and effective treatment. Recent advancements in Machine …
urgent need for early detection and effective treatment. Recent advancements in Machine …
A survey on diabetic retinopathy lesion detection and segmentation
Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
Diabetic retinopathy detection and grading of retinal fundus images using coyote optimization algorithm with deep learning
K Parthiban, M Kamarasan - Multimedia Tools and Applications, 2023 - Springer
Diabetic retinopathy (DR) is a major reason of preventable blindness for diabetic patients.
Regular retinal screening is recommended for diabetic persons to detect DR at the earlier …
Regular retinal screening is recommended for diabetic persons to detect DR at the earlier …
[PDF][PDF] Improving SVM classification performance on unbalanced student graduation time data using SMOTE
Abstract—Student graduation accuracy is one of the indicators of the success of higher
education institutions in carrying out the teaching and learning process and as a component …
education institutions in carrying out the teaching and learning process and as a component …
A deep learning-based framework for retinal disease classification
This study addresses the problem of the automatic detection of disease states of the retina.
In order to solve the abovementioned problem, this study develops an artificially intelligent …
In order to solve the abovementioned problem, this study develops an artificially intelligent …
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 …
Multi-point attention-based semi-supervised learning for diabetic retinopathy classification
C Zhang, P Chen, T Lei - Biomedical Signal Processing and Control, 2023 - Elsevier
In recent years, the severity classification of some well-known diseases has gradually
become a focus of researchers, especially diabetic retinopathy (DR) recognition caused by …
become a focus of researchers, especially diabetic retinopathy (DR) recognition caused by …