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 …
Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model
ME Gegundez-Arias, D Marin-Santos… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective: Automatic monitoring of retinal blood vessels proves
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique
Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without
any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this …
any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this …
[HTML][HTML] A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
Machine learning-based diabetic retinopathy early detection and classification systems-a survey
Diabetes Mellitus is a chronic disease that spreads quickly worldwide. It results from
increasing the blood glucose level and causes complications in the heart, kidney, and eyes …
increasing the blood glucose level and causes complications in the heart, kidney, and eyes …
Detection of diabetic retinopathy using extracted 3D features from OCT images
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated
early. In this study, a three-step system for DR detection utilizing optical coherence …
early. In this study, a three-step system for DR detection utilizing optical coherence …
[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 …
An enhanced swarm optimization-based deep neural network for diabetic retinopathy classification in fundus images
Diabetic Retinopathy (DR) is one of the long-lasting Diabetic retinal disorders that leads to
vision impairment eventually blindness in most of the working-age population. The process …
vision impairment eventually blindness in most of the working-age population. The process …
Relevance Map** based CNN model with OSR-FCA Technique for Multi-label DR Classification.
S Hemamalini, VD Kumar… - Fusion: Practice & …, 2023 - search.ebscohost.com
In computer vision, multi-label classification (MLC) is especially important for medical picture
analysis. We use MLC to classify diverse stages of diabetic retinopathy (DR) using colour …
analysis. We use MLC to classify diverse stages of diabetic retinopathy (DR) using colour …