Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning
Abstract
We aimed to assess the ability of deep learning (DL) and support vector machine (SVM) to detect a nonperfusion area (NPA) caused by retinal vein occlusion (RVO) with optical coherence tomography angiography (OCTA) images. The study included 322 OCTA images (normal: 148; NPA owing to RVO: 174 [128 branch RVO images and 46 central RVO images]). Training to construct the DL model using deep convolutional neural network (DNN) algorithms was provided...
Paper Details
Title
Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning
Published Date
Nov 7, 2019
Journal
Volume
14
Issue
11
Pages
e0223965 - e0223965
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