AIMC Topic: Retina

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Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration.

Scientific reports Feb 24, 2025
Wide-field optical coherence tomography (OCT) imaging can enable monitoring of peripheral changes in the retina, beyond the conventional fields of view used in current clinical OCT imaging systems. However, wide-field scans can present significant ch...
Algorithms Deep Learning Tomography, Optical Coherence Retina Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Head-mounted surgical robots are an enabling technology for subretinal injections.

Science robotics Feb 19, 2025
Therapeutic protocols involving subretinal injection, which hold the promise of saving or restoring sight, are challenging for surgeons because they are at the limits of human motor and perceptual abilities. Excessive or insufficient indentation of t...
Head Injections, Intraocular Head Movements Equipment Design Robotic Surgical Procedures Retina Humans Robotics
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Enhancing diabetic retinopathy diagnosis: automatic segmentation of hyperreflective foci in OCT via deep learning.

International ophthalmology Feb 18, 2025
OBJECTIVE: Hyperreflective foci (HRF) are small, punctate lesions ranging from 20 to 50 m and exhibiting high reflective intensity in optical coherence tomography (OCT) images of patients with diabetic retinopathy (DR). The purpose of the model prop...
Tomography, Optical Coherence Retina Algorithms Deep Learning Humans Diabetic Retinopathy
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Artificial intelligence-enhanced retinal imaging as a biomarker for systemic diseases.

Theranostics Feb 18, 2025
Retinal images provide a non-invasive and accessible means to directly visualize human blood vessels and nerve fibers. Growing studies have investigated the intricate microvascular and neural circuitry within the retina, its interactions with other s...
Deep Learning Biomarkers Retina Humans Tomography, Optical Coherence Cardiovascular Diseases Artificial Intelligence
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A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images.

Medical & biological engineering & computing Feb 7, 2025
Retinal diseases are a serious global threat to human vision, and early identification is essential for effective prevention and treatment. However, current diagnostic methods rely on manual analysis of fundus images, which heavily depends on the exp...
Neural Networks, Computer Algorithms Deep Learning Humans Retina Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Retinal Diseases Fundus Oculi
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Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.

JMIR medical informatics Feb 7, 2025
BACKGROUND: Chronic kidney disease (CKD) is a prevalent condition with significant global health implications. Early detection and management are critical to prevent disease progression and complications. Deep learning (DL) models using retinal image...
Deep Learning Renal Insufficiency, Chronic Glomerular Filtration Rate Male Middle Aged Retina Urinalysis Humans Female Young Adult Adult Aged
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Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Sensory information transmitted to the brain activates neurons to create a series of coping behaviors. Understanding the mechanisms of neural computation and reverse engineering the brain to build intelligent machines requires establishing a robust r...
Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Photic Stimulation Action Potentials Visual Perception Retina
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A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities.

Computers in biology and medicine Jan 31, 2025
Feature extraction in ML plays a crucial role in transforming raw data into a more meaningful and interpretable representation. In this study, we thoroughly examined a range of feature extraction techniques and assessed their impact on the binary cla...
Tomography, Optical Coherence Humans Retina Deep Learning Radiomics Image Processing, Computer-Assisted
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Retinal OCT image classification based on MGR-GAN.

Medical & biological engineering & computing Jan 25, 2025
Accurately classifying optical coherence tomography (OCT) images is essential for diagnosing and treating ophthalmic diseases. This paper introduces a novel generative adversarial network framework called MGR-GAN. The masked image modeling (MIM) meth...
Humans Retina Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Tomography, Optical Coherence
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Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.

Current eye research Jan 23, 2025
PURPOSE: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Mice, Inbred DBA Tomography, Optical Coherence Retina Neural Networks, Computer Mice Support Vector Machine Mice, Inbred C57BL Machine Learning Animals
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