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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 …
[HTML][HTML] Automated detection and diagnosis of diabetic retinopathy: A comprehensive survey
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
[HTML][HTML] EdgeSVDNet: 5G-enabled detection and classification of vision-threatening diabetic retinopathy in retinal fundus images
The rise of vision-threatening diabetic retinopathy (VTDR) underscores the imperative for
advanced and efficient early detection mechanisms. With the integration of the Internet of …
advanced and efficient early detection mechanisms. With the integration of the Internet of …
Grading diabetic retinopathy using multiresolution based CNN
Diabetic Retinopathy (DR) refers to a medical condition that affects the eye; it occurs due to
diabetes, and, if not detected early on, results in a reduction of visual capacity and may even …
diabetes, and, if not detected early on, results in a reduction of visual capacity and may even …
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 …
Attention-based deep learning framework to recognize diabetes disease from cellular retinal images
D Kothadiya, A Rehman, S Abbas… - … and Cell Biology, 2023 - cdnsciencepub.com
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from
diabetes. Many people are visually impaired due to DR. Primary cause of DR in patients is …
diabetes. Many people are visually impaired due to DR. Primary cause of DR in patients is …
Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework
Diabetic retinopathy is a condition that affects the retina and causes vision loss due to blood
vessel destruction. The retina is the layer of the eye responsible for visual processing and …
vessel destruction. The retina is the layer of the eye responsible for visual processing and …
[HTML][HTML] A deep learning based approach for grading of diabetic retinopathy using large fundus image dataset
Diabetic Retinopathy affects one-third of all diabetic patients and may cause vision
impairment. It has four stages of progression, ie, mild non-proliferative, moderate non …
impairment. It has four stages of progression, ie, mild non-proliferative, moderate non …
Joint DR-DME classification using deep learning-CNN based modified grey-wolf optimizer with variable weights
This paper aims to develop a computer-based diagnostic system to assist ophthalmologists
in screening for diabetic retinopathy and diabetic macular edema by identifying the early …
in screening for diabetic retinopathy and diabetic macular edema by identifying the early …