AIMC Topic: Choroidal Neovascularization

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Diagnosis of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning.

Translational vision science & technology Feb 1, 2022
PURPOSE: To differentiate polypoidal choroidal vasculopathy (PCV) from choroidal neovascularization (CNV) and to determine the extent of PCV from fluorescein angiography (FA) using attention-based deep learning networks.
Humans Fluorescein Angiography Wet Macular Degeneration Choroidal Neovascularization Deep Learning Choroid
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Imaging Biomarkers of 1-Year Activity in Type 1 Macular Neovascularization.

Translational vision science & technology May 3, 2021
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) ...
Fluorescein Angiography Choroidal Neovascularization Biomarkers Tomography, Optical Coherence Humans Artificial Intelligence
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Multiclass retinal disease classification and lesion segmentation in OCT B-scan images using cascaded convolutional networks.

Applied optics Nov 20, 2020
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 ...
Diabetic Retinopathy Neural Networks, Computer Algorithms Humans Tomography, Optical Coherence Retinal Diseases Macular Edema Retinal Drusen Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Choroidal Neovascularization
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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.) Oct 1, 2020
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 ...
Indocyanine Green Fluorescein Angiography Wet Macular Degeneration Tomography, Optical Coherence Coloring Agents Choroidal Neovascularization Male Middle Aged Deep Learning Humans Visual Acuity Prospective Studies Aged Diagnosis, Computer-Assisted Female Aged, 80 and over Reproducibility of Results
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Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence.

Investigative ophthalmology & visual science Jul 2, 2018
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...
Female Aged Male Middle Aged Aged, 80 and over Machine Learning Prospective Studies Humans Retinal Drusen Double-Blind Method Artificial Intelligence Disease Progression Choroidal Neovascularization Image Interpretation, Computer-Assisted Tomography, Optical Coherence Wet Macular Degeneration Geographic Atrophy
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Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

Investigative ophthalmology & visual science Jun 1, 2017
PURPOSE: The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD.
Predictive Value of Tests Aged, 80 and over Female Tomography, Optical Coherence Pilot Projects Ranibizumab Male Vascular Endothelial Growth Factor A Angiogenesis Inhibitors Subretinal Fluid Middle Aged ROC Curve Humans Macular Degeneration Visual Acuity Choroidal Neovascularization Aged Machine Learning
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