AIMC Topic: Tomography, Optical Coherence
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A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers.
Scientific reports
Feb 16, 2022
Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular degeneration (AMD), a degenerative retinal disease which leads to blindness if untreated. Optical coherence tomography angiography (OCTA) has become a p...
Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.
PloS one
Feb 14, 2022
PURPOSE: To evaluate the predictive ability of a deep learning-based algorithm to determine long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age-related macular degeneration (nARMD) patients using baseline swept-source o...
Automatic Segment and Quantify Choroid Layer in Myopic eyes: Deep Learning based Model.
Seminars in ophthalmology
Feb 9, 2022
PURPOSE: To report a rapid and accurate method based upon deep learning for automatic segmentation and measurement of the choroidal thickness (CT) in myopic eyes, and to determine the relationship between refractive error (RE) and CT.
Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.
Scientific reports
Feb 9, 2022
Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images. Data f...
Linking Function and Structure with ReSensNet: Predicting Retinal Sensitivity from OCT using Deep Learning.
Ophthalmology. Retina
Feb 5, 2022
PURPOSE: The currently used measures of retinal function are limited by being subjective, nonlocalized, or taxing for patients. To address these limitations, we sought to develop and evaluate a deep learning (DL) method to automatically predict the f...
Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images.
Scientific reports
Feb 3, 2022
Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence t...
Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images.
The British journal of ophthalmology
Jan 28, 2022
AIMS: To apply a deep learning model for automatic localisation of the scleral spur (SS) in anterior segment optical coherence tomography (AS-OCT) images and compare the reproducibility of anterior chamber angle (ACA) width between deep learning loca...
Integrated deep learning framework for accelerated optical coherence tomography angiography.
Scientific reports
Jan 25, 2022
Label-free optical coherence tomography angiography (OCTA) has become a premium imaging tool in clinics to obtain structural and functional information of microvasculatures. One primary technical drawback for OCTA, however, is its imaging speed. The ...
Clinically applicable deep learning-based decision aids for treatment of neovascular AMD.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Jan 22, 2022
PURPOSE: Anti-vascular endothelial growth factor (Anti-VEGF) therapy is currently seen as the standard for treatment of neovascular AMD (nAMD). However, while treatments are highly effective, decisions for initial treatment and retreatment are often ...
Distortion and instability compensation with deep learning for rotational scanning endoscopic optical coherence tomography.
Medical image analysis
Jan 22, 2022
Optical Coherence Tomography (OCT) is increasingly used in endoluminal procedures since it provides high-speed and high resolution imaging. Distortion and instability of images obtained with a proximal scanning endoscopic OCT system are significant d...
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