An Intelligent Optical Coherence Tomography-based System for Pathological Retinal Cases Identification and Urgent Referrals

PURPOSE: This study aimed to develop an automated system with artificial intelligence algorithms to comprehensively identify pathologic retinal cases and make urgent referrals. METHODS: To build and test the intelligent system, this study obtained 28,664 optical coherence tomography (OCT) images fro...

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Detalles Bibliográficos
Autores principales: Wang, Lilong, Wang, Guanzheng, Zhang, Meng, Fan, Dongyi, Liu, Xiaoqiang, Guo, Yan, Wang, Rui, Lv, Bin, Lv, Chuanfeng, Wei, Jay, Sun, Xinghuai, Xie, Guotong, Wang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443122/
https://www.ncbi.nlm.nih.gov/pubmed/32879756
http://dx.doi.org/10.1167/tvst.9.2.46

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443122/
https://www.ncbi.nlm.nih.gov/pubmed/32879756
http://dx.doi.org/10.1167/tvst.9.2.46

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