A Deep Learning Architecture for Vascular Area Measurement in Fundus Images

PURPOSE: To develop a novel evaluation system for retinal vessel alterations caused by hypertension using a deep learning algorithm. DESIGN: Retrospective study. PARTICIPANTS: Fundus photographs (n = 10 571) of health-check participants (n = 5598). METHODS: The participants were analyzed using a ful...

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Detalles Bibliográficos
Autores principales: Fukutsu, Kanae, Saito, Michiyuki, Noda, Kousuke, Murata, Miyuki, Kase, Satoru, Shiba, Ryosuke, Isogai, Naoki, Asano, Yoshikazu, Hanawa, Nagisa, Dohke, Mitsuru, Kase, Manabu, Ishida, Susumu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560649/
https://www.ncbi.nlm.nih.gov/pubmed/36246007
http://dx.doi.org/10.1016/j.xops.2021.100004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560649/
https://www.ncbi.nlm.nih.gov/pubmed/36246007
http://dx.doi.org/10.1016/j.xops.2021.100004

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