Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
N Asiri, M Hussain, F Al Adel, N Alzaidi - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review
KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
Retinal fundus image analysis (RFIA) for diabetic retinopathy (DR) screening can be used to
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
A novel approach for diabetic retinopathy screening using asymmetric deep learning features
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …
domain of computer vision. It is challenging due to structural complexity and a marginal …
Idrid: Diabetic retinopathy–segmentation and grading challenge
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …
predominantly affecting the working-age population across the globe. Screening for DR …
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
E Özbay - Artificial Intelligence Review, 2023 - Springer
Retinal fundus image analysis (RFIA) is frequently used in diabetic retinopathy (DR) scans
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
Detection of diabetic eye disease from retinal images using a deep learning based CenterNet model
Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person
suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula …
suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula …
[HTML][HTML] Exudate detection in fundus images using deeply-learnable features
Presence of exudates on a retina is an early sign of diabetic retinopathy, and automatic
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …
Automatic detection of diabetic eye disease through deep learning using fundus images: a survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
Retinal image analysis for diabetes-based eye disease detection using deep learning
Diabetic patients are at the risk of develo** different eye diseases ie, diabetic retinopathy
(DR), diabetic macular edema (DME) and glaucoma. DR is an eye disease that harms the …
(DR), diabetic macular edema (DME) and glaucoma. DR is an eye disease that harms the …