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Choroidal Neovascularization

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Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence.

Investigative ophthalmology & visual science 29971444
PURPOSE: While millions of individuals show early age-related macular degeneration (AMD) signs, yet have excellent vision, the risk of progression to advanced AMD with legal blindness is highly variable. We suggest means of artificial intelligence to...
Aged Aged, 80 and over Artificial Intelligence Choroidal Neovascularization Disease Progression Double-Blind Method Female Geographic Atrophy Humans Image Interpretation, Computer-Assisted Machine Learning Male Middle Aged Prospective Studies Retinal Drusen Tomography, Optical Coherence Wet Macular Degeneration
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology 31215760
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Algorithms Area Under Curve Choroidal Neovascularization Deep Learning Diagnosis, Computer-Assisted False Positive Reactions Female Fluorescein Angiography Fundus Oculi Humans Male Middle Aged Ophthalmologists Photography Predictive Value of Tests Reproducibility of Results Retrospective Studies ROC Curve Sensitivity and Specificity Visual Acuity Wet Macular Degeneration
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[Chances of Artificial Intelligence and Big Data for the Diagnosis and Treatment of Age-related Macular Degeneration].

Klinische Monatsblatter fur Augenheilkunde 31671463
Age-related macular degeneration (AMD) is the leading cause of blindness in the western world. Intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF) is an effective therapy of the neovascular form of this condition. Multimodal...
Angiogenesis Inhibitors Artificial Intelligence Big Data Choroidal Neovascularization Humans Intravitreal Injections Macular Degeneration Ranibizumab Vascular Endothelial Growth Factor A
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Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

PloS one 32298265
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
Adult Aged Blindness Choroid Choroidal Neovascularization Datasets as Topic Deep Learning Diagnosis, Differential Female Humans Image Interpretation, Computer-Assisted Macula Lutea Male Mass Screening Middle Aged Myopia Retinoschisis ROC Curve Severity of Illness Index Tomography, Optical Coherence
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Deep phenotype unsupervised machine learning revealed the significance of pachychoroid features in etiology and visual prognosis of age-related macular degeneration.

Scientific reports 33116208
Unsupervised machine learning has received increased attention in clinical research because it allows researchers to identify novel and objective viewpoints for diseases with complex clinical characteristics. In this study, we applied a deep phenotyp...
Aged Aged, 80 and over Angiogenesis Inhibitors Choroid Choroidal Neovascularization Female Humans Intravitreal Injections Macular Degeneration Male Prognosis Receptors, Vascular Endothelial Growth Factor Recombinant Fusion Proteins Retrospective Studies Unsupervised Machine Learning
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SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY, FLUORESCEIN ANGIOGRAPHY, AND INDOCYANINE GREEN ANGIOGRAPHY COMPARISONS REVISITED: Using a Novel Deep-Learning-Assisted Approach for Image Registration.

Retina (Philadelphia, Pa.) 31800463
PURPOSE: To compare area measurements between swept source optical coherence tomography angiography (SSOCTA), fluorescein angiography (FA), and indocyanine green angiography (ICGA) after applying a novel deep-learning-assisted algorithm for accurate ...
Aged Aged, 80 and over Choroidal Neovascularization Coloring Agents Deep Learning Diagnosis, Computer-Assisted Female Fluorescein Angiography Humans Indocyanine Green Male Middle Aged Prospective Studies Reproducibility of Results Tomography, Optical Coherence Visual Acuity Wet Macular Degeneration
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Multiclass retinal disease classification and lesion segmentation in OCT B-scan images using cascaded convolutional networks.

Applied optics 33361962
Disease classification and lesion segmentation of retinal optical coherence tomography images play important roles in ophthalmic computer-aided diagnosis. However, existing methods achieve the two tasks separately, which is insufficient for clinical ...
Algorithms Choroidal Neovascularization Diabetic Retinopathy Diagnosis, Computer-Assisted Humans Image Processing, Computer-Assisted Macular Edema Neural Networks, Computer Retinal Diseases Retinal Drusen Tomography, Optical Coherence
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Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.

American journal of ophthalmology 33422464
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Aged Aged, 80 and over Angiogenesis Inhibitors Choroidal Neovascularization Deep Learning Female Geographic Atrophy Humans Intravitreal Injections Male Middle Aged Models, Statistical Neural Networks, Computer Ranibizumab Receptors, Vascular Endothelial Growth Factor Recombinant Fusion Proteins Retinal Drusen ROC Curve Sensitivity and Specificity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Visual Acuity Wet Macular Degeneration
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Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography.

Scientific reports 33927240
This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convoluti...
Aged Aged, 80 and over Case-Control Studies Cell Proliferation Choroidal Neovascularization Cross-Sectional Studies Diagnosis, Differential Female Humans Macular Degeneration Male Middle Aged Neural Networks, Computer Polyploidy Retinal Neovascularization Tomography, Optical Coherence
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Imaging Biomarkers of 1-Year Activity in Type 1 Macular Neovascularization.

Translational vision science & technology 34111264
PURPOSE: The purpose of this study was to evaluate the predictive value of optical coherence tomography (OCT) and OCT angiography (OCTA) parameters at baseline on lesion's activity at the 1-year follow-up in type 1 macular neovascularizations (MNVs) ...
Artificial Intelligence Biomarkers Choroidal Neovascularization Fluorescein Angiography Humans Tomography, Optical Coherence
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