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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |