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A systematic review on diabetic retinopathy detection using deep learning techniques
Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …
and it becomes extremely time-consuming and challenging to detect manually. As a result …
[HTML][HTML] 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 …
Diabetic retinopathy detection and classification using capsule networks
Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who
suffer from diabetes. Early and timely detection of this problem is critical for a good …
suffer from diabetes. Early and timely detection of this problem is critical for a good …
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
In recent days, the incidence of Diabetic Retinopathy (DR) has become high, affecting the
eyes because of drastic increase in the glucose level in blood. Globally, almost half of the …
eyes because of drastic increase in the glucose level in blood. Globally, almost half of the …
Hyperparameter tuning deep learning for diabetic retinopathy fundus image classification
Diabetic retinopathy (DR) is a major reason for the increased visual loss globally, and it
became an important cause of visual impairment among people in 25-74 years of age. The …
became an important cause of visual impairment among people in 25-74 years of age. The …
Modified Alexnet architecture for classification of diabetic retinopathy images
T Shanthi, RS Sabeenian - Computers & Electrical Engineering, 2019 - Elsevier
Diabetic retinopathy (DR) is an illness occurring in the eye due to increase in blood glucose
level. Among people in the age group of 70, 50% of deaths are attributed to diabetes. Early …
level. Among people in the age group of 70, 50% of deaths are attributed to diabetes. Early …
[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 …
[HTML][HTML] Identification of diabetic retinopathy using weighted fusion deep learning based on dual-channel fundus scans
It is a well-known fact that diabetic retinopathy (DR) is one of the most common causes of
visual impairment between the ages of 25 and 74 around the globe. Diabetes is caused by …
visual impairment between the ages of 25 and 74 around the globe. Diabetes is caused by …
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 …
A systematic literature review on diabetic retinopathy using an artificial intelligence approach
Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels
and has become the most common cause of vision loss worldwide. It has become a severe …
and has become the most common cause of vision loss worldwide. It has become a severe …