Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography

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 lesions [e.g., myopic choroidal neovascularizatio...

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Detalles Bibliográficos
Autores principales: Sogawa, Takahiro, Tabuchi, Hitoshi, Nagasato, Daisuke, Masumoto, Hiroki, Ikuno, Yasushi, Ohsugi, Hideharu, Ishitobi, Naofumi, Mitamura, Yoshinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161961/
https://www.ncbi.nlm.nih.gov/pubmed/32298265
http://dx.doi.org/10.1371/journal.pone.0227240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161961/
https://www.ncbi.nlm.nih.gov/pubmed/32298265
http://dx.doi.org/10.1371/journal.pone.0227240

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