Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays

INTRODUCTION: The objective of this study was to assess seven configurations of six convolutional deep neural network architectures for classification of chest X-rays (CXRs) as COVID-19 positive or negative. METHODS: The primary dataset consisted of 294 COVID-19 positive and 294 COVID-19 negative CX...

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Detalles Bibliográficos
Autores principales: Maharjan, Jenish, Calvert, Jacob, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, McCoy, Andrea, Mao, Qingqing, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302887/
https://www.ncbi.nlm.nih.gov/pubmed/34425544
http://dx.doi.org/10.1016/j.clinimag.2021.07.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302887/
https://www.ncbi.nlm.nih.gov/pubmed/34425544
http://dx.doi.org/10.1016/j.clinimag.2021.07.004

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