Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning

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 br...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Nagasato, Daisuke, Tabuchi, Hitoshi, Masumoto, Hiroki, Enno, Hiroki, Ishitobi, Naofumi, Kameoka, Masahiro, Niki, Masanori, Mitamura, Yoshinori
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6837754/
https://ncbi.nlm.nih.gov/pubmed/31697697
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0223965
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