Deep Learning–Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation

BACKGROUND: Retinal imaging has been applied for detecting eye diseases and cardiovascular risks using deep learning–based methods. Furthermore, retinal microvascular and structural changes were found in renal function impairments. However, a deep learning–based method using retinal images for detec...

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Detalles Bibliográficos
Autores principales: Kang, Eugene Yu-Chuan, Hsieh, Yi-Ting, Li, Chien-Hung, Huang, Yi-Jin, Kuo, Chang-Fu, Kang, Je-Ho, Chen, Kuan-Jen, Lai, Chi-Chun, Wu, Wei-Chi, Hwang, Yih-Shiou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728538/
https://www.ncbi.nlm.nih.gov/pubmed/33139242
http://dx.doi.org/10.2196/23472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728538/
https://www.ncbi.nlm.nih.gov/pubmed/33139242
http://dx.doi.org/10.2196/23472

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