AIMC Topic: Retina
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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...
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).
Diabetic retinopathy classification using a multi-attention residual refinement architecture.
Scientific reports
Aug 10, 2025
Diabetic Retinopathy (DR) is a complication caused by diabetes that can destroy the retina, leading to blurred vision and even blindness. We propose a multi-attention residual refinement architecture that enhances conventional CNN performance through...
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...
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...
Multi-modal classification of retinal disease based on convolutional neural network.
Biomedical physics & engineering express
Jul 28, 2025
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irreversible blindness without timely diagnosis and treatment. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) imag...
An explainable transformer model for Alzheimer's disease detection using retinal imaging.
Scientific reports
Jul 23, 2025
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progress...
Advances in machine learning for ABCA4-related retinopathy: segmentation and phenotyping.
International ophthalmology
Jul 23, 2025
PURPOSE: Stargardt disease, also called ABCA4-related retinopathy (ABCA4R), is the most common form of juvenile-onset macular dystrophy and yet lacks an FDA approved treatment. Substantial progress has been made through landmark studies like that of ...
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, ...
Advances in disease detection through retinal imaging: A systematic review.
Computers in biology and medicine
Jun 6, 2025
Ocular and non-ocular diseases significantly impact millions of people worldwide, leading to vision impairment or blindness if not detected and managed early. Many individuals could be prevented from becoming blind by treating these diseases early on...
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