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Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography
The non-perfusion area (NPA) of the retina is an important indicator in the visual prognosis of patients with branch retinal vein occlusion (BRVO)....
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Semi-supervised segmentation of retinoblastoma tumors in fundus images
Retinoblastoma is a rare form of cancer that predominantly affects young children as the primary intraocular malignancy. Studies conducted in...
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Automated vertical cup-to-disc ratio determination from fundus images for glaucoma detection
Glaucoma is the leading cause of irreversible blindness worldwide. Often asymptomatic for years, this disease can progress significantly before...
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Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks
Vessel segmentation in fundus images permits understanding retinal diseases and computing image-based biomarkers. However, manual vessel segmentation...
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Associated factors of diabetic retinopathy by artificial intelligence evaluation of fundus images in Japan
This cross-sectional study aimed to investigate the promoting and inhibitory factors of diabetic retinopathy (DR) according to diabetes mellitus (DM)...
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A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images
The increase in eye disorders among older individuals has raised concerns, necessitating early detection through regular eye examinations....
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Detecting red-lesions from retinal fundus images using unique morphological features
One of the most important retinal diseases is Diabetic Retinopathy (DR) which can lead to serious damage to vision if remains untreated. Red-lesions...
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Exudate identification in retinal fundus images using precise textural verifications
One of the most salient diseases of retina is Diabetic Retinopathy (DR) which may lead to irreparable damages to eye vision in the advanced phases. A...
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GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management
As one of the leading causes of irreversible blindness worldwide, glaucoma is characterized by structural damage and functional loss. Glaucoma...
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Multi-task deep learning for glaucoma detection from color fundus images
Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in time. Diagnosis requires human experts to estimate in a...
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Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images
Diabetic retinopathy (DR) is one of the main causes of blindness in people around the world. Early diagnosis and treatment of DR can be accomplished...
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Deep-learning-based AI for evaluating estimated nonperfusion areas requiring further examination in ultra-widefield fundus images
We herein propose a PraNet-based deep-learning model for estimating the size of non-perfusion area (NPA) in pseudo-color fundus photos from an...
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Asymmetry between right and left fundus images identified using convolutional neural networks
We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered...
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Scale-adaptive model for detection and grading of age-related macular degeneration from color retinal fundus images
Age-related Macular Degeneration (AMD), a retinal disease that affects the macula, can be caused by aging abnormalities in number of different cells...
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Neuron-level explainable AI for Alzheimer’s Disease assessment from fundus images
Alzheimer’s Disease (AD) is a progressive neurodegenerative disease and the leading cause of dementia. Early diagnosis is critical for patients to...
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A fundus image dataset for intelligent retinopathy of prematurity system
Image-based artificial intelligence (AI) systems stand as the major modality for evaluating ophthalmic conditions. However, most of the currently...
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Assessment of image quality on color fundus retinal images using the automatic retinal image analysis
Image quality assessment is essential for retinopathy detection on color fundus retinal image. However, most studies focused on the classification of...
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MSHF: A Multi-Source Heterogeneous Fundus (MSHF) Dataset for Image Quality Assessment
Image quality assessment (IQA) is significant for current techniques of image-based computer-aided diagnosis, and fundus imaging is the chief...
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Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation
Pathologic myopia (PM) is a common blinding retinal degeneration suffered by highly myopic population. Early screening of this condition can reduce...
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Fundus autofluorescence imaging using red excitation light
Retinal disease accounts significantly for visual impairment and blindness. An important role in the pathophysiology of retinal disease and aging is...
