Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images

Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence tomography (SD-OCT) images together to diagnose CSC...

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Detalles Bibliográficos
Autores principales: Ko, Junseo, Han, Jinyoung, Yoon, Jeewoo, Park, Ji In, Hwang, Joon Seo, Han, Jeong Mo, 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/PMC8814130/
https://www.ncbi.nlm.nih.gov/pubmed/35115577
http://dx.doi.org/10.1038/s41598-022-05051-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814130/
https://www.ncbi.nlm.nih.gov/pubmed/35115577
http://dx.doi.org/10.1038/s41598-022-05051-y

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