[HTML][HTML] Diabetic retinopathy detection through deep learning techniques: A review
Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …
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 …
Diabetic retinopathy fundus image classification and lesions localization system using deep learning
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …
[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …
patients. Early detection of the DR can save many patients from permanent blindness …
Diabetic retinopathy detection using prognosis of microaneurysm and early diagnosis system for non-proliferative diabetic retinopathy based on deep learning …
L Qiao, Y Zhu, H Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
Predicting the presence of Microaneurysms in the fundus images and the identification of
diabetic retinopathy in early-stage has always been a major challenge for decades. Diabetic …
diabetic retinopathy in early-stage has always been a major challenge for decades. Diabetic …
[HTML][HTML] Diabetic retinopathy detection using principal component analysis multi-label feature extraction and classification
Diabetic Retinopathy (DR) is the most common cause of eyesight loss that affects millions of
people worldwide. Although there are recognized screening procedures for detecting the …
people worldwide. Although there are recognized screening procedures for detecting the …
Severity classification of diabetic retinopathy using an ensemble learning algorithm through analyzing retinal images
Diabetic Retinopathy (DR) refers to the damages endured by the retina as an effect of
diabetes. DR has become a severe health concern worldwide, as the number of diabetes …
diabetes. DR has become a severe health concern worldwide, as the number of diabetes …
Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis
Background Diabetic retinopathy (DR) is one of the leading causes of blindness globally.
Earlier detection and timely treatment of DR are desirable to reduce the incidence and …
Earlier detection and timely treatment of DR are desirable to reduce the incidence and …
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …
prioritizing patients into multi-emergency level is required to accommodate all the patients …
[HTML][HTML] Performance and limitation of machine learning algorithms for diabetic retinopathy screening: meta-analysis
Background Diabetic retinopathy (DR), whose standard diagnosis is performed by human
experts, has high prevalence and requires a more efficient screening method. Although …
experts, has high prevalence and requires a more efficient screening method. Although …