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DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning
Diabetic macular edema (DME) is a consequence of diabetic retinopathy (DR), characterized by the abnormal accumulation of fluid and protein deposits...
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Generative Adversarial Networks and Improved Efficientnet for Imbalanced Diabetic Retinopathy Grading
Diabetic retinopathy (DR) is a complication of diabetes and one of the causes of blindness and visual impairment. Automated and accurate DR grading...
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DRG-NET: A graph neural network for computer-aided grading of diabetic retinopathy
Diabetic retinopathy is emerging as a very serious vision disorder in the recent decades, due to escalation of diabetes world-over. This condition...
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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...
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A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images
Retinal disorders, including diabetic retinopathy and macular degeneration due to aging, can lead to preventable blindness in diabetics. Vision loss...
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Self-Attention Mechanism for Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) is a high blood sugar level that causes damage to blood vessels and is one of the common causes of blindness in the...
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Vitreous Hemorrhage Segmentation in Fundus Images by Using an Efficient-UNet Network
Eye exams based on fundus image are used to detect abnormalities in the retina and optic nerve. These exams are able to detect issues such as...
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Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network
Because retinal hemorrhage is one of the earliest symptoms of diabetic retinopathy, its accurate identification is essential for early diagnosis. One...
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An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images
Diabetes mellitus Retinopathy (DR) has recently become a major health problem, and its complications are also increasing worldwide. Early diagnosis...
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Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
The exponential increase in the number of diabetics around the world has led to an equally large increase in the number of diabetic retinopathy (DR)...
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Detection of retinal disorders from OCT images using generative adversarial networks
Retinal image analysis has opened up a new window for prompt diagnosis and detection of various retinal disorders. Optical Coherence Tomography (OCT)...
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H1DBi-R Net: Hybrid 1D Bidirectional RNN for Efficient Diabetic Retinopathy Detection and Classification
Nowadays the eye disease that widely affects the visual impairment of humans is Diabetes Retinopathy (DR). The advanced stage of the disorder leads...
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Towards improved fundus disease detection using Swin Transformers
Ocular diseases can have debilitating consequences on visual acuity if left untreated, necessitating early and accurate diagnosis to improve...
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Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of permanent blindness worldwide. Designing an automatic grading system...
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Challenges for ocular disease identification in the era of artificial intelligence
Retinal image analysis is an integral and fundamental step towards the identification and classification of ocular diseases like glaucoma, diabetic...
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Computer-Aided Diagnosis-Based Grading Classification of Diabetic Retinopathy Using Deep Graph Correlation Network with IRF
Diabetic retinopathy (DR) is a leading cause of blindness in different age groups. So, the early detection of DR can save millions of people from...
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Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC)
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes development of various retinal abrasions in the human retina. These...
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Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions
WHO projects that diabetes will be the 7th major cause leading death in 2030. Diabetic Retinopathy caused by leakage of blood or fluid from the...
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Recognition of Blinding Diseases from Ocular OCT Images Based on Deep Learning
Age-Related Macular Degeneration (AMD) and Diabetes Macular Edema (DME) are eye diseases with the highest blinding rate. Optical Coherence Tomography...
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Automatic Segmentation of Hard Exudates Using LAB Color Space Contours Edge Detection and Morphological Operation
Diabetic retinopathy is a serious medical condition that affects people across the world and diminishes the quality of life. Hard exudates are one of...