Non-invasive and accurate risk evaluation of cerebrovascular disease using retinal fundus photo based on deep learning

BACKGROUND: Cerebrovascular disease (CeVD) is a prominent contributor to global mortality and profound disability. Extensive research has unveiled a connection between CeVD and retinal microvascular abnormalities. Nonetheless, manual analysis of fundus images remains a laborious and time-consuming t...

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Detalles Bibliográficos
Autores principales: An, Lin, Qin, Jia, Jiang, Weili, Luo, Penghao, Luo, Xiaoyan, Lai, Yuzheng, Jin, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513168/
https://www.ncbi.nlm.nih.gov/pubmed/37745652
http://dx.doi.org/10.3389/fneur.2023.1257388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513168/
https://www.ncbi.nlm.nih.gov/pubmed/37745652
http://dx.doi.org/10.3389/fneur.2023.1257388

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