Application of Deep Learning Methods for Binarization of the Choroid in Optical Coherence Tomography Images

PURPOSE: The purpose of this study was to develop a deep learning model for automatic binarization of the choroidal tissue, separating choroidal blood vessels from nonvascular stromal tissue, in optical coherence tomography (OCT) images from healthy young subjects. METHODS: OCT images from an observ...

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Detalles Bibliográficos
Autores principales: Muller, Joshua, Alonso-Caneiro, David, Read, Scott A., Vincent, Stephen J., Collins, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857621/
https://www.ncbi.nlm.nih.gov/pubmed/35157030
http://dx.doi.org/10.1167/tvst.11.2.23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857621/
https://www.ncbi.nlm.nih.gov/pubmed/35157030
http://dx.doi.org/10.1167/tvst.11.2.23

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