Validating automated eye disease screening AI algorithm in community and in-hospital scenarios

PURPOSE: To assess the accuracy and robustness of the AI algorithm for detecting referable diabetic retinopathy (RDR), referable macular diseases (RMD), and glaucoma suspect (GCS) from fundus images in community and in-hospital screening scenarios. METHODS: We collected two color fundus image datase...

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Detalles Bibliográficos
Autores principales: Han, Ruoan, Cheng, Gangwei, Zhang, Bilei, Yang, Jingyuan, Yuan, Mingzhen, Yang, Dalu, Wu, Junde, Liu, Junwei, Zhao, Chan, Chen, Youxin, Xu, Yanwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354491/
https://www.ncbi.nlm.nih.gov/pubmed/35937211
http://dx.doi.org/10.3389/fpubh.2022.944967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354491/
https://www.ncbi.nlm.nih.gov/pubmed/35937211
http://dx.doi.org/10.3389/fpubh.2022.944967

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