Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis

RATIONALE AND OBJECTIVE: To perform a meta-analysis to compare the diagnostic test accuracy (DTA) of deep learning (DL) in detecting coronavirus disease 2019 (COVID-19), and to investigate how network architecture and type of datasets affect DL performance. MATERIALS AND METHODS: We searched PubMed,...

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Detalles Bibliográficos
Autores principales: Komolafe, Temitope Emmanuel, Cao, Yuzhu, Nguchu, Benedictor Alexander, Monkam, Patrice, Olaniyi, Ebenezer Obaloluwa, Sun, Haotian, Zheng, Jian, Yang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association of University Radiologists. Published by Elsevier Inc. 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445811/
https://www.ncbi.nlm.nih.gov/pubmed/34649779
http://dx.doi.org/10.1016/j.acra.2021.08.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445811/
https://www.ncbi.nlm.nih.gov/pubmed/34649779
http://dx.doi.org/10.1016/j.acra.2021.08.008

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