Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network

BACKGROUND: To develop a deep neural network able to differentiate glaucoma from non-glaucoma visual fields based on visual filed (VF) test results, we collected VF tests from 3 different ophthalmic centers in mainland China. METHODS: Visual fields obtained by both Humphrey 30–2 and 24–2 tests were...

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Detalles Bibliográficos
Autores principales: Li, Fei, Wang, Zhe, Qu, Guoxiang, Song, Diping, Yuan, Ye, Xu, Yang, Gao, Kai, Luo, Guangwei, Xiao, Zegu, Lam, Dennis S. C., Zhong, Hua, Qiao, Yu, Zhang, Xiulan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172715/
https://www.ncbi.nlm.nih.gov/pubmed/30286740
http://dx.doi.org/10.1186/s12880-018-0273-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172715/
https://www.ncbi.nlm.nih.gov/pubmed/30286740
http://dx.doi.org/10.1186/s12880-018-0273-5

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