AIMC Topic: Retina
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Equitable Deep Learning for Diabetic Retinopathy Detection Using Multidimensional Retinal Imaging With Fair Adaptive Scaling.
Translational vision science & technology
Jul 1, 2025
PURPOSE: To investigate the fairness of existing deep models for diabetic retinopathy (DR) detection and introduce an equitable model to reduce group performance disparities.
Automatic transformer-based grading of multiple retinal inflammatory signs in uveitis on fluorescein angiography.
Computers in biology and medicine
Jul 1, 2025
BACKGROUND: Grading fluorescein angiography (FA) for uveitis is complex, often leading to the oversight of retinal inflammation in clinical studies. This study aims to develop an automated method for grading retinal inflammation.
Enabling scale and rotation invariance in convolutional neural networks with retina like transformation.
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Traditional convolutional neural networks (CNNs) struggle with scale and rotation transformations, resulting in reduced performance on transformed images. Previous research focused on designing specific CNN modules to extract transformation-invariant...
Optimised Hybrid Attention-Based Capsule Network Integrated Three-Pathway Network for Chronic Disease Detection in Retinal Images.
Journal of evaluation in clinical practice
Jun 1, 2025
BACKGROUND: Over the past 20 years, researchers have concentrated on generating retinal images as a means of detecting and classifying chronic diseases. Early diagnosis and treatment are essential to avoid chronic diseases. Manually grading retinal i...
EffiViT: Hybrid CNN-Transformer for Retinal Imaging.
Computers in biology and medicine
Jun 1, 2025
The human eye is a vital sensory organ that is crucial for visual perception. The retina is the main component of the eye and is responsible for visual signals. Due to its characteristics, the retina can reveal the occurrence of ocular diseases. So, ...
Global-Local Transformer Network for Automatic Retinal Pathological Fluid Segmentation in Optical Coherence Tomography Images.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVE: As a pivotal biomarker, the accurate segmentation of retinal pathological fluid such as intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED), was a critical task for diagnosis and treatme...
Leveraging Vision Transformers in Multimodal Models for Retinal OCT Analysis.
Studies in health technology and informatics
May 15, 2025
Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology, providing high-resolution cross-sectional images of the retina. Accurate classification of OCT images is crucial for diagnosing retinal diseases such as...
Deep compressed multichannel adaptive optics scanning light ophthalmoscope.
Science advances
May 9, 2025
Adaptive optics scanning light ophthalmoscopy (AOSLO) reveals individual retinal cells and their function, microvasculature, and micropathologies in vivo. As compared to the single-channel offset pinhole and two-channel split-detector nonconfocal AOS...
RETINAL IMAGING ANALYSIS PERFORMED BY CHATGPT-4o AND GEMINI ADVANCED: The Turning Point of the Revolution?
Retina (Philadelphia, Pa.)
Apr 1, 2025
PURPOSE: To assess the diagnostic capabilities of the most recent chatbots releases, GPT-4o and Gemini Advanced, facing different retinal diseases.
A deep-learning retinal aging biomarker for cognitive decline and incident dementia.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Mar 1, 2025
INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive decline remains under-explored.
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