AIMC Topic: Macula Lutea

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Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features.

Translational vision science & technology Apr 1, 2022
PURPOSE: The purpose of this study was to assess the feasibility of deep learning (DL) methods to enhance the prediction of visual acuity (VA) improvement after macular hole (MH) surgery from a combined model using DL on high-definition optical coher...
Humans Deep Learning Macula Lutea Retinal Perforations Tomography, Optical Coherence Vitrectomy
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Deep Learning Angiogenesis Inhibitors Middle Aged Tomography, Optical Coherence Fundus Oculi Randomized Controlled Trials as Topic Predictive Value of Tests Retrospective Studies Female Sensitivity and Specificity Male Diabetic Retinopathy Neural Networks, Computer Humans Ranibizumab Photography False Positive Reactions Intravitreal Injections Diagnostic Techniques, Ophthalmological Macula Lutea Macular Edema Vascular Endothelial Growth Factor A Image Interpretation, Computer-Assisted
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Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration.

JAMA ophthalmology Dec 1, 2018
IMPORTANCE: Although deep learning (DL) can identify the intermediate or advanced stages of age-related macular degeneration (AMD) as a binary yes or no, stratified gradings using the more granular Age-Related Eye Disease Study (AREDS) 9-step detaile...
Reproducibility of Results Follow-Up Studies Humans Retrospective Studies Risk Assessment Severity of Illness Index Algorithms Risk Factors Female Disease Progression Deep Learning Aged Time Factors Incidence Macular Degeneration Male Diagnostic Techniques, Ophthalmological United States Middle Aged Macula Lutea
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Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble.

IEEE transactions on medical imaging Apr 1, 2018
Computer-aided diagnosis (CAD) of retinal pathologies is a current active area in medical image analysis. Due to the increasing use of retinal optical coherence tomography (OCT) imaging technique, a CAD system in retinal OCT is essential to assist op...
Macula Lutea Neural Networks, Computer Humans Databases, Factual Macular Degeneration Algorithms Tomography, Optical Coherence Image Interpretation, Computer-Assisted
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