Street images classification according to COVID-19 risk in Lima, Peru: a convolutional neural networks feasibility analysis

OBJECTIVES: During the COVID-19 pandemic, convolutional neural networks (CNNs) have been used in clinical medicine (eg, X-rays classification). Whether CNNs could inform the epidemiology of COVID-19 classifying street images according to COVID-19 risk is unknown, yet it could pinpoint high-risk plac...

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Detalles Bibliográficos
Autores principales: Carrillo-Larco, Rodrigo M, Castillo-Cara, Manuel, Hernández Santa Cruz, Jose Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Global Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485648/
https://www.ncbi.nlm.nih.gov/pubmed/36123096
http://dx.doi.org/10.1136/bmjopen-2022-063411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485648/
https://www.ncbi.nlm.nih.gov/pubmed/36123096
http://dx.doi.org/10.1136/bmjopen-2022-063411

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