AIMC Topic: Fundus Oculi

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Integrating non-linear radon transformation for diabetic retinopathy grading.

Scientific reports Aug 21, 2025
Diabetic retinopathy is a serious ocular complication that poses a significant threat to patients' vision and overall health. Early detection and accurate grading are essential to prevent vision loss. Current automatic grading methods rely heavily on...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Humans Diabetic Retinopathy Fundus Oculi Retina
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Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset.

PloS one Aug 21, 2025
BACKGROUND: Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS).
Adult Retina Japan Male Middle Aged Retrospective Studies Female Aged Deep Learning ROC Curve Metabolic Syndrome Humans Neural Networks, Computer East Asian People Fundus Oculi
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AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images.

PloS one Aug 7, 2025
Diabetic retinopathy (DR) is a microvascular complication of diabetes that can lead to blindness if left untreated. Regular monitoring is crucial for detecting early signs of referable DR, and the progression to moderate to severe non-proliferative D...
Humans Female Aged Adult Male Diabetic Retinopathy Neural Networks, Computer Artificial Intelligence Sex Factors Middle Aged Fundus Oculi Retina
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Retinal image-based disease classification using hybrid deep architecture with improved image features.

International ophthalmology Aug 5, 2025
OBJECTIVE: Ophthalmologists use retinal fundus imaging as a useful tool to diagnose retinal issues. Recently, research on machine learning has concentrated on disease diagnosis. However, disease detection is less accurate, more likely to be misidenti...
Retina Retinal Diseases Deep Learning Image Processing, Computer-Assisted Fundus Oculi Humans Neural Networks, Computer
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Development and validation of a deep learning image quality feedback system for infant fundus photography.

Scientific reports Jul 23, 2025
Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare institutions face a shortage of well-trained ophthalmologists for conducting screenings. Hence, we have developed the Deep Learning Infant Fundus Quality ...
Image Processing, Computer-Assisted Fundus Oculi Retinopathy of Prematurity Photography Infant Deep Learning ROC Curve Humans Infant, Newborn
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Machine learning technology in the classification of glaucoma severity using fundus photographs.

Scientific reports Jul 18, 2025
This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. Glaucoma severity grading was based on the Hodapp-Parrish-Anderson (HPA) criteria incorporating the mean deviation value...
Machine Learning Female Aged Severity of Illness Index Fundus Oculi Male Middle Aged Humans Neural Networks, Computer Glaucoma Photography
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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Scientific reports Jul 9, 2025
Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pathological changes in the retinal neural and vascular system. Recently, fundus imaging is a popular technology and widely used for clinical diagnosis, ...
Diabetic Retinopathy Neural Networks, Computer Algorithms Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Humans Fundus Oculi Retina Image Interpretation, Computer-Assisted
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A deep convolutional neural network-based novel class balancing for imbalance data segmentation.

Scientific reports Jul 1, 2025
Retinal fundus images provide valuable insights into the human eye's interior structure and crucial features, such as blood vessels, optic disk, macula, and fovea. However, accurate segmentation of retinal blood vessels can be challenging due to imba...
Fundus Oculi Retinal Vessels Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs.

Journal of the American Heart Association Jun 27, 2025
BACKGROUND: Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therapeutic management and stroke prevention. However, most stroke centers lack onsite ophthalmic expertise before considering fibrinolytic treatment. This s...
Middle Aged Deep Learning Time Factors Aged Cross-Sectional Studies Retinal Artery Occlusion Humans Male Predictive Value of Tests Artificial Intelligence Fundus Oculi Retrospective Studies Photography Female
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International ophthalmology Jun 27, 2025
UNLABELLED: Early detection of glaucoma represents a vital factor in securing vision while the disease retains its position as one of the central causes of blindness worldwide. The current glaucoma screening strategies with expert interpretation depe...
Fundus Oculi Optic Disk Algorithms Humans Reproducibility of Results Neural Networks, Computer Intraocular Pressure Glaucoma
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