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Exudate and drusen classification in retinal images using bagged colour vector angles and inter colour local binary patterns
The presence of exudates is one of the most significant signs of Diabetic retinopathy (DR) whereas; white or tiny yellow deposits known as drusen...
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A complexity reduction based retinex model for low luminance retinal fundus image enhancement
Retinal fundus images play significant roles in the early detection and treatment of various ocular diseases. However, they are often suffered from...
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Detection of central serous retinopathy using deep learning through retinal images
The human eye is responsible for the visual reorganization of objects in the environment. The eye is divided into different layers and front/back...
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Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras
Out-of-distribution data produced by unseen devices can heavily impact the accuracy of machine learning model in glaucoma detection using retinal...
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An Effective Threshold Based Technique for Retinal Image Blood Vessel Segmentation on Fundus Image Using Average and Gaussian Filters
The fundamental components of automated retinal blood vessel segmentation for eye disease screening systems are segmentation algorithms, retinal...
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HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images
Hypertensive retinopathy (HR) can potentially lead to vision loss if left untreated. Early screening and treatment are critical in reducing the risk...
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An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
Retinal fundus image analysis (RFIA) is frequently used in diabetic retinopathy (DR) scans to determine the risk of blindness in diabetic patients....
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An automated classification framework for glaucoma detection in fundus images using ensemble of dynamic selection methods
Glaucoma is an optic neuropathy, which leads to vision loss and is irreversible due to damage in the optic nerve head mainly caused by increased...
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Automatic Glaucoma Detection from Fundus Images Using Deep Convolutional Neural Networks and Exploring Networks Behaviour Using Visualization Techniques
Glaucoma is an irreversible eye disease due to increased intraocular pressure that damages the optic nerve in the eye. It does not initially exhibit...
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Retinal fundus image classification for diabetic retinopathy using transfer learning technique
Diabetic Retinopathy (DR) stands as a primary cause of blindness across all age groups, attributed to insufficient blood supply to the retina,...
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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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Improved machine learning-based glaucoma detection from fundus images using texture features in FAWT and LS-SVM classifier
The second leading cause of blindness worldwide, following cataracts, is Glaucoma. Due to the fact that it is sometimes undetectable in the early...
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An Automated Enhancement System of Diabetic Retinopathy Fundus Image for Eye Care Facilities
Examining retinal fundus images is compulsory for ophthalmologists to spot features of eye diseases. Some problems, including low contrast and...
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Hybrid technique for fundus image enhancement using modified morphological filter and denoising net
Diabetic retinopathy is manually predicted by ophthalmologists using features such as variations in length and thickness of blood vessels, lesions...
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Microaneurysms detection using fundus images based on deep convolutional neural network enabled fractional hunter osprey optimization
Diabetic Retinopathy (DR) is one of the foremost reasons for poor eyesight in the modern globe. An earlier detection of DR is vital in offering...
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Synthesizing Retinal Images using End-To-End VAEs-GAN Pipeline-Based Sharpening and Varying Layer
This study attempts to synthesize a realistic-looking fundus image from a morphologically changed vessel structure using the newly proposed...
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Segmentation of Pigment Signs in Fundus Images with a Hybrid Approach: A Case Study
AbstractRetinitis pigmentosa is a retinal disorder leading to a progressive visual field loss and eventually to complete blindness, but an early...
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Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images
Myopic maculopathy is a highly myopic retinal disorder that often occurs in highly myopic patients, serving as a major cause of visual impairment and...
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Retinal Vessel Segmentation and Disc Detection from Color Fundus Images Using Inception Module and Residual Connection
Relating to diagnosis of ophthalmologic diseases, retinal fundus images provide valuable clinical information. Retinal blood vessel analysis gives...
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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...
