[HTML][HTML] Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review
Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …
A survey on recent developments in diabetic retinopathy detection through integration of deep learning
S Agarwal, A Bhat - Multimedia Tools and Applications, 2023 - Springer
Diabetes, nowadays, is a very common disease throughout the world among people of all
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …
A survey on medical image analysis in diabetic retinopathy
Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …
individuals suffer from damage to the blood vessels in the retina. The disease manifests …
Bearing fault diagnosis based on multiple transformation domain fusion and improved residual dense networks
J Sun, J Wen, C Yuan, Z Liu, Q **ao - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Automatic feature extraction is one of the most advantageous merits of deep neural network
(DNN), meanwhile, it is an important part for intelligent bearing fault diagnosis. However …
(DNN), meanwhile, it is an important part for intelligent bearing fault diagnosis. However …
[HTML][HTML] Ensemble of multi-stage deep convolutional neural networks for automated grading of diabetic retinopathy using image patches
Diabetic retinopathy (DR) is one of the most common retinal diseases that cause
preventable blindness in diabetic patients. The timely screening and grading of retinal …
preventable blindness in diabetic patients. The timely screening and grading of retinal …
Computerized retinal image analysis-a survey
K Mittal, VMA Rajam - Multimedia tools and Applications, 2020 - Springer
The speedy development of digital imaging and computer vision has extended the potential
of using these technologies in ophthalmology. Image processing systems are increasingly …
of using these technologies in ophthalmology. Image processing systems are increasingly …
Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion
J Du, B Zou, C Chen, Z Xu, Q Liu - Computer Methods and Programs in …, 2020 - Elsevier
Background and objective: Retinal microaneurysm (MA) is one of the earliest clinical signs
of diabetic retinopathy (DR). Its detection is essential for controlling DR and preventing …
of diabetic retinopathy (DR). Its detection is essential for controlling DR and preventing …
Deep learning approach for automatic microaneurysms detection
In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete
vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost …
vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost …
Automated grading of diabetic retinopathy using CNN with hierarchical clustering of image patches by siamese network
Diabetic retinopathy (DR) is a progressive vascular complication that affects people who
have diabetes. This retinal abnormality can cause irreversible vision loss or permanent …
have diabetes. This retinal abnormality can cause irreversible vision loss or permanent …
Automated detection of diabetic retinopathy in fundus images using fused features
Diabetic retinopathy (DR) is one of the severe eye conditions due to diabetes complication
which can lead to vision loss if left untreated. In this paper, a computationally simple, yet very …
which can lead to vision loss if left untreated. In this paper, a computationally simple, yet very …