AIMC Topic: Diabetic Retinopathy
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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...
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...
FedGAN: Federated diabetic retinopathy image generation.
PloS one
Jul 24, 2025
Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. We propose FedGAN, a federated learning framework for synthetic medical image generation ...
Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.
Scientific reports
Jul 16, 2025
Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic challenges due to its reliance on expert assessment and the subtlety of small lesions. Although deep learning has shown promise, its effectiveness is oft...
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 in rural communities: a review of barriers to access of care and potential solutions.
Annals of medicine
Jul 4, 2025
INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 million Americans diagnosed with DM, the disease exerts a significant burden on healthcare systems, especially in rural areas where access to care is li...
Transformer attention fusion for fine grained medical image classification.
Scientific reports
Jul 1, 2025
Fine-grained visual classification is fundamental for medical image applications because it detects minor lesions. Diabetic retinopathy (DR) is a preventable cause of blindness, which requires exact and timely diagnosis to prevent vision damage. The ...
Realistic fundus photograph generation for improving automated disease classification.
The British journal of ophthalmology
Jun 23, 2025
AIMS: This study aims to investigate whether denoising diffusion probabilistic models (DDPMs) could generate realistic retinal images, and if they could be used to improve the performance of a deep convolutional neural network (CNN) ensemble for mult...
Preventive and therapeutic strategies via health care delivery system to minimize sight-threatening diabetic retinopathy: a narrative review.
Current diabetes reports
Jun 10, 2025
PURPOSE OF REVIEW: To highlight various preventive and therapeutic strategies via health care delivery system to minimize sight-threatening diabetic retinopathy.
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