Fundus Tessellated Density Assessed by Deep Learning in Primary School Children

PURPOSE: To explore associations of fundus tessellated density (FTD) and compare characteristics of different fundus tessellation (FT) distribution patterns, based on artificial intelligence technology using deep learning. METHODS: Comprehensive ocular examinations were conducted in 577 children age...

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Detalles Bibliográficos
Autores principales: Huang, Dan, Li, Rui, Qian, Yingxiao, Ling, Saiguang, Dong, Zhou, Ke, Xin, Yan, Qi, Tong, Haohai, Wang, Zijin, Long, Tengfei, Liu, Hu, Zhu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289270/
https://www.ncbi.nlm.nih.gov/pubmed/37342054
http://dx.doi.org/10.1167/tvst.12.6.11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289270/
https://www.ncbi.nlm.nih.gov/pubmed/37342054
http://dx.doi.org/10.1167/tvst.12.6.11

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