AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline

PURPOSE: To externally validate a deep learning pipeline (AutoMorph) for automated analysis of retinal vascular morphology on fundus photographs. AutoMorph has been made publicly available, facilitating widespread research in ophthalmic and systemic diseases. METHODS: AutoMorph consists of four func...

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Detalles Bibliográficos
Autores principales: Zhou, Yukun, Wagner, Siegfried K., Chia, Mark A., Zhao, An, Woodward-Court, Peter, Xu, Moucheng, Struyven, Robbert, Alexander, Daniel C., Keane, Pearse A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290317/
https://www.ncbi.nlm.nih.gov/pubmed/35833885
http://dx.doi.org/10.1167/tvst.11.7.12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290317/
https://www.ncbi.nlm.nih.gov/pubmed/35833885
http://dx.doi.org/10.1167/tvst.11.7.12

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