Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study

Central serous chorioretinopathy (CSC) is the fourth most common retinopathy and can reduce quality of life. CSC is assessed using optical coherence tomography (OCT), but deep learning systems have not been used to classify CSC subtypes. This study aimed to build a deep learning system model to dist...

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Detalles Bibliográficos
Autores principales: Yoon, Jeewoo, Han, Jinyoung, Ko, Junseo, Choi, Seong, Park, Ji In, Hwang, Joon Seo, Han, Jeong Mo, Jang, Kyuhwan, Sohn, Joonhong, Park, Kyu Hyung, Hwang, Daniel Duck-Jin
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/PMC8748505/
https://www.ncbi.nlm.nih.gov/pubmed/35013502
http://dx.doi.org/10.1038/s41598-021-04424-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748505/
https://www.ncbi.nlm.nih.gov/pubmed/35013502
http://dx.doi.org/10.1038/s41598-021-04424-z

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