Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics

PURPOSE: To generate the first open dataset of retinal parafoveal optical coherence tomography angiography (OCTA) images with associated ground truth manual segmentations, and to establish a standard for OCTA image segmentation by surveying a broad range of state-of-the-art vessel enhancement and bi...

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Detalles Bibliográficos
Autores principales: Giarratano, Ylenia, Bianchi, Eleonora, Gray, Calum, Morris, Andrew, MacGillivray, Tom, Dhillon, Baljean, Bernabeu, Miguel O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718823/
https://www.ncbi.nlm.nih.gov/pubmed/33344049
http://dx.doi.org/10.1167/tvst.9.13.5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718823/
https://www.ncbi.nlm.nih.gov/pubmed/33344049
http://dx.doi.org/10.1167/tvst.9.13.5

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