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Classifying diabetic macular edema grades using extended power of deep learning
Diabetic macular edema (DME) is the expansion of the disease diabetic retinopathy (DR). Diabetic persons with a severe risk of DME can enter the...
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A Novel original feature fusion network for joint diabetic retinopathy and diabetic Macular edema grading
Diabetic retinopathy (DR) and its complication diabetic macular edema (DME) are the leading cause of permanent blindness in the working-age...
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Joint grading of diabetic retinopathy and diabetic macular edema using an adaptive attention block and semisupervised learning
The early screening and treatment of diabetic retinopathy (DR) and diabetic macular edema (DME) can prevent the risk of blindness for most diabetic...
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Diabetic macular edema grading based on improved Faster R-CNN and MD-ResNet
Diabetic macular edema (DME) is the main cause of visual impairment in diabetic patients. Early detection of DME will significantly reduce the risk...
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Automatic Classification of Diabetic Retinopathy Through Segmentation Using CNN
The process division of Diabetes Retinopathy (DR) has been considered as a significant step in diabetic retinopathy assessment and treatment....
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CNN for Diabetic Retinopathy Detection
Diabetic retinopathy is an eye disorder that can affect people with diabetes. It develops when there is damage to the blood vessels in the retina...
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Machine Learning Based Diabetic Retinopathy Detection and Classification
Diabetic retinopathy is a common disease among people with diabetes. Early stage diagnosis and treatment of diabetic retinopathy are essential to...
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Impact of Data Augmentation on Retinal OCT Image Segmentation for Diabetic Macular Edema Analysis
Deep learning models have become increasingly popular for analysis of optical coherence tomography (OCT), an ophthalmological imaging modality...
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MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification
In this work, we propose an attention-based deep convolutional neural network (CNN) model as an assistive computer-aided tool to classify common...
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Early Detection of Diabetic Retinopathy Using Deep Learning
Diabetic retinopathy is a major cause of blindness in diabetic individuals aged 25–65, where lesions on the retina caused by weakened blood vessels...
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Automated detection of diabetic retinopathy using optimized convolutional neural network
Diabetes is one of the most common diseases across the world. It affects numerous parts of our body. Diabetic Retinopathy has an effect on retina...
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Automated diabetic retinopathy screening using deep learning
The purpose of this research is to propose a new method for identifying diabetic retinopathy using retinal fundus images. Currently, identifying...
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A meta-analysis on diabetic retinopathy and deep learning applications
Diabetic retinopathy is one of the negative effects of diabetes on the eye. Early diagnosis of this disease, which can progress to blindness, is very...
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Automated Grading of Diabetic Macular Edema Using Deep Learning Techniques
Diabetic macular edema (DME) is one of the major causes for visual impairment and can even lead to permanent blindness if not treated early. Manual...
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Retinal Image Analysis Approach for Diabetic Retinopathy Grading
The eye is a complex organ that performs many functions. One of its components is the retina. One of the important properties of the retina is the...
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Enhanced diabetic retinopathy detection and exudates segmentation using deep learning: A promising approach for early disease diagnosis
Diabetic Retinopathy (DR) is a severe retinal condition primarily affecting diabetic people. This is mostly due to excessive blood sugar levels,...
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Deep learning for diabetic retinopathy assessments: a literature review
Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by performing retinal image analysis helps avoid visual...
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Diagnosis and detection of diabetic retinopathy based on transfer learning
Diabetes Mellitus (DM) is a chronic condition that affects the blood glucose metabolism of various organs and tissues throughout the body. It can...
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Application of Artificial Intelligence in Ophthalmology for Coagulate Map Formation to Carry Out Laser Eye Treatment
In this paper, we present the main points of artificial intelligence application in ophthalmology for coagulate map formation to carry out laser eye...
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Diabetic retinopathy detection by fundus images using fine tuned deep learning model
This study employs transfer learning using a fine-tuned pretrained EfficientNetB0 convolutional neural network (CNN) model to accurately detect the...
