AIMC Topic: Fundus Oculi

Clear Filters Showing 41 to 50 of 491 articles

ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus.

Computers in biology and medicine Jan 21, 2025
In image segmentation for medical image analysis, effective upsampling is crucial for recovering spatial information lost during downsampling. This challenge becomes more pronounced when dealing with diverse medical image modalities, which can signif...
Deep Learning Image Processing, Computer-Assisted Ultrasonography, Mammary Radiography, Thoracic Fundus Oculi Retina Humans Female
View on PubMed DOI

Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images.

Scientific reports Jan 21, 2025
Branch retinal vein occlusion (BRVO) is a leading cause of visual impairment in working-age individuals, though predicting its occurrence from retinal vascular features alone remains challenging. We developed a deep learning model to predict BRVO bas...
Male Middle Aged Deep Learning ROC Curve Retrospective Studies Female Adult Fundus Oculi Retinal Vessels Retinal Vein Occlusion Humans
View on PubMed DOI

Systematic application of saliency maps to explain the decisions of convolutional neural networks for glaucoma diagnosis based on disc and cup geometry.

Biomedical physics & engineering express Jan 21, 2025
This paper systematically evaluates saliency methods as explainability tools for convolutional neural networks trained to diagnose glaucoma using simplified eye fundus images that contain only disc and cup outlines. These simplified images, a methodo...
Humans Neural Networks, Computer Glaucoma Algorithms Image Interpretation, Computer-Assisted Optic Disk Convolutional Neural Networks Image Processing, Computer-Assisted Fundus Oculi
View on PubMed DOI

Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading.

IEEE journal of biomedical and health informatics Jan 7, 2025
Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to automatically grade DR via retinal fundus images (RFIs). However, RFIs a...
Deep Learning Fundus Oculi Retina Image Interpretation, Computer-Assisted Humans Diabetic Retinopathy Neural Networks, Computer
View on PubMed DOI

Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence.

JAMA network open Jan 2, 2025
IMPORTANCE: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-correc...
Fundus Oculi Macular Edema Photography Eyeglasses Middle Aged Visual Acuity Tomography, Optical Coherence Artificial Intelligence Humans Cross-Sectional Studies Algorithms Female Diabetic Retinopathy Male Aged Retrospective Studies
View on PubMed DOI

Standardized evaluation of diabetic retinopathy using artificial intelligence and its association with metabolic dysfunction-associated steatotic liver disease in Japan: A cross-sectional study.

PloS one Dec 17, 2024
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relat...
Image Interpretation, Computer-Assisted Sensitivity and Specificity Photography Cross-Sectional Studies Humans Protective Factors Middle Aged Fundus Oculi Liver Cirrhosis Software Diabetic Retinopathy Non-alcoholic Fatty Liver Disease Male Glycated Hemoglobin Female Artificial Intelligence Japan Severity of Illness Index Risk Factors Cholinesterases
View on PubMed DOI

Attention and dilated convolutions inclusive deep-CNN with multiplexed texture features to diagnose Pathological and High Myopia.

Computers in biology and medicine Dec 13, 2024
In today's era, precise and timely diagnosis of ocular diseases are crucial as these disorders jeopardize millions of visions. Early detection and proactive management can minimize vision threatening complications from these disorders. High Myopia(HM...
Fundus Oculi Myopia, Degenerative Male Myopia Deep Learning Humans Neural Networks, Computer Female
View on PubMed DOI

Glaucoma detection: Binocular approach and clinical data in machine learning.

Artificial intelligence in medicine Dec 12, 2024
In this work, we present a multi-modal machine learning method to automate early glaucoma diagnosis. The proposed methodology introduces two novel aspects for automated diagnosis not previously explored in the literature: simultaneous use of ocular f...
Machine Learning Humans Fundus Oculi Decision Trees Neural Networks, Computer Image Interpretation, Computer-Assisted Glaucoma
View on PubMed DOI

Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ultrasound images.

BMJ open ophthalmology Dec 11, 2024
AIM: To evaluate the efficacy of automated machine learning (AutoML) models in detecting fundus diseases using ocular B-scan ultrasound images.
Humans Adult Male Machine Learning Female Retinal Diseases Middle Aged Ultrasonography Fundus Oculi
View on PubMed DOI

Prediction of Visual Acuity After Cataract Surgery by Deep Learning Methods Using Clinical Information and Color Fundus Photography.

Current eye research Dec 9, 2024
PURPOSE: To examine the performance of deep-learning models that predicts the visual acuity after cataract surgery using preoperative clinical information and color fundus photography (CFP).
Photography Cataract Fundus Oculi Aged Postoperative Period Aged, 80 and over Humans Retrospective Studies Male Visual Acuity Female Cataract Extraction Middle Aged Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals