The role of different retinal imaging modalities in predicting progression of diabetic retinopathy: A survey
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
Deep learning for diabetic retinopathy assessments: a literature review
Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …
Using deep learning architectures for detection and classification of diabetic retinopathy
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …
human eye and potentially leading to permanent blindness. The early detection of DR is …
Artificial intelligence in diabetic retinopathy: Bibliometric analysis
Background The use of artificial intelligence in diabetic retinopathy has become a popular
research focus in the past decade. However, no scientometric report has provided a …
research focus in the past decade. However, no scientometric report has provided a …
Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy
Diabetic Retinopathy (DR) is a consequence of diabetes mellitus that results in damage to
the retina's blood vessel networks. It is now the major cause of irreversible blindness among …
the retina's blood vessel networks. It is now the major cause of irreversible blindness among …
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 …
Optimizing deep learning model parameters using socially implemented IoMT systems for diabetic retinopathy classification problem
Diabetic retinopathy (DR) is on the increase nowadays due to the high sugar level in the
blood, and it is the reason for blindness that mainly occurs in middle-aged people …
blood, and it is the reason for blindness that mainly occurs in middle-aged people …
Classification of diseased cotton leaves and plants using improved deep convolutional neural network
The automated detection and classification of plant diseases based on images of leaves is a
significant milestone in agriculture. Due to the increasing popularity of digital image …
significant milestone in agriculture. Due to the increasing popularity of digital image …
The role of medical image modalities and AI in the early detection, diagnosis and grading of retinal diseases: a survey
Traditional dilated ophthalmoscopy can reveal diseases, such as age-related macular
degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear …
degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear …
Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images
Diabetic retinopathy (DR) is one of the main causes of blindness in people around the world.
Early diagnosis and treatment of DR can be accomplished by organizing large regular …
Early diagnosis and treatment of DR can be accomplished by organizing large regular …