Classification and segmentation of diabetic retinopathy: a systemic review
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review
S Muchuchuti, S Viriri - Journal of Imaging, 2023 - mdpi.com
Millions of people are affected by retinal abnormalities worldwide. Early detection and
treatment of these abnormalities could arrest further progression, saving multitudes from …
treatment of these abnormalities could arrest further progression, saving multitudes from …
Mayfly optimization with deep learning enabled retinal fundus image classification model
Retinal fundus images are widely employed to screen for various eye diseases, giving them
significant clinical importance. Investigation of medical images has been considerably …
significant clinical importance. Investigation of medical images has been considerably …
A comprehensive review of diabetic retinopathy detection and grading based on deep learning and metaheuristic optimization techniques
AM Dayana, WRS Emmanuel - Archives of Computational Methods in …, 2023 - Springer
Diabetic retinopathy (DR) is a microvascular disorder that causes retinal damage and
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …
Artifical intelligence with optimal deep learning enabled automated retinal fundus image classification model
Diabetic retinopathy (DR) and age related macular degeneration (AMD) becomes
widespread microvascular illness among diabetic patients. Traditional retinal fundus image …
widespread microvascular illness among diabetic patients. Traditional retinal fundus image …
Salp swarm optimisation with deep transfer learning enabled retinal fundus image classification model
Automated screening and diagnostic process in the healthcare sector improves services,
reduces cost and labour. With the developments of machine learning (ML) and deep …
reduces cost and labour. With the developments of machine learning (ML) and deep …
[HTML][HTML] Multiocular disease detection using a generic framework based on handcrafted and deep learned feature analysis
M Raveenthini, R Lavanya - Intelligent Systems with Applications, 2023 - Elsevier
Diabetic retinopathy (DR) and Glaucoma are two major ocular diseases that lead to vision
impairment if not detected and treated promptly. Manual detection and diagnosis of these …
impairment if not detected and treated promptly. Manual detection and diagnosis of these …
Diagnosis and multiclass classification of diabetic retinopathy using enhanced multi thresholding optimization algorithms and improved Naive Bayes classifier
U Bhimavarapu - Multimedia Tools and Applications, 2024 - Springer
Early diagnosis is crucial to prevent a diabetic patient from being affected by blindness.
Automatic and accurate detection of diabetic retinopathy is essential. A methodology for the …
Automatic and accurate detection of diabetic retinopathy is essential. A methodology for the …
MODCN: Fine-Tuned Deep Convolutional Neural Network with GAN Deployed to Forecast Diabetic Eye Damage in Fundus Retinal Images
J Joseph, SR Sreela - International Journal of Image and Graphics, 2023 - World Scientific
Diabetic Retinopathy (DR) and Glaucoma are two of the most common causes of vision loss
world-wide. However, it can be averted if therapy is begun early enough. In biomedical …
world-wide. However, it can be averted if therapy is begun early enough. In biomedical …
A Review on Swarm intelligence & Evolutionary Algorithms based Approaches for Diabetic Retinopathy Detection
Diabetic retinopathy has overtaken cataracts as the primary cause of new blindness
globally. Diabetics are more likely to develop cataracts, visual loss, glaucoma, excessive …
globally. Diabetics are more likely to develop cataracts, visual loss, glaucoma, excessive …