Predicting persistent central serous chorioretinopathy using multiple optical coherence tomographic images by deep learning

We sought to predict whether central serous chorioretinopathy (CSC) will persist after 6 months using multiple optical coherence tomography (OCT) images by deep convolutional neural network (CNN). This was a multicenter, retrospective, cohort study. Multiple OCT images, including B-scan and en face...

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Detalles Bibliográficos
Autores principales: Jee, Donghyun, Yoon, Ji Hyun, Ra, Ho, Kwon, Jin-woo, Baek, Jiwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167285/
https://www.ncbi.nlm.nih.gov/pubmed/35661150
http://dx.doi.org/10.1038/s41598-022-13473-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167285/
https://www.ncbi.nlm.nih.gov/pubmed/35661150
http://dx.doi.org/10.1038/s41598-022-13473-x

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