Automatic Segmentation in Multiple OCT Layers For Stargardt Disease Characterization Via Deep Learning

PURPOSE: This study sought to perform automated segmentation of 11 retinal layers and Stargardt-associated features on spectral-domain optical coherence tomography (SD-OCT) images and to analyze differences between normal eyes and eyes diagnosed with Stargardt disease. METHODS: Automated segmentatio...

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Detalles Bibliográficos
Autores principales: Mishra, Zubin, Wang, Ziyuan, Sadda, SriniVas R., Hu, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083069/
https://www.ncbi.nlm.nih.gov/pubmed/34004000
http://dx.doi.org/10.1167/tvst.10.4.24

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083069/
https://www.ncbi.nlm.nih.gov/pubmed/34004000
http://dx.doi.org/10.1167/tvst.10.4.24

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