Choroidal thickness estimation from colour fundus photographs by adaptive binarisation and deep learning, according to central serous chorioretinopathy status

This study was performed to estimate choroidal thickness by fundus photography, based on image processing and deep learning. Colour fundus photography and central choroidal thickness examinations were performed in 200 normal eyes and 200 eyes with central serous chorioretinopathy (CSC). Choroidal th...

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Detalles Bibliográficos
Autores principales: Komuku, Yuki, Ide, Atsuya, Fukuyama, Hisashi, Masumoto, Hiroki, Tabuchi, Hitoshi, Okadome, Takeshi, Gomi, Fumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101421/
https://www.ncbi.nlm.nih.gov/pubmed/32221317
http://dx.doi.org/10.1038/s41598-020-62347-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101421/
https://www.ncbi.nlm.nih.gov/pubmed/32221317
http://dx.doi.org/10.1038/s41598-020-62347-7

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