Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies

OBJECTIVE: To evaluate the diagnostic accuracy of deep learning algorithms to identify age-related macular degeneration and to explore factors impacting the results for future model training. METHODS: Diagnostic accuracy studies published in PubMed, EMBASE, the Cochrane Library, and ClinicalTrails.g...

Descripción completa

Detalles Bibliográficos
Autores principales: Leng, Xiangjie, Shi, Ruijie, Wu, Yanxia, Zhu, Shiyin, Cai, Xingcan, Lu, Xuejing, Liu, Ruobing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079062/
https://www.ncbi.nlm.nih.gov/pubmed/37023082
http://dx.doi.org/10.1371/journal.pone.0284060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079062/
https://www.ncbi.nlm.nih.gov/pubmed/37023082
http://dx.doi.org/10.1371/journal.pone.0284060

Ejemplares similares