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

Rodrigo M Carrillo-Larco Manuel Castillo-CaraJose Francisco Hernández Santa Cruz

Published in: BMJ open (2022)

This feasibility study showed that CNNs have the potential to classify street images according to levels of COVID-19 risk. In addition to applications in clinical medicine, CNNs and street images could advance the epidemiology of COVID-19 at the population level.

Keyphrases

convolutional neural network
deep learning
coronavirus disease
sars cov
optical coherence tomography
respiratory syndrome coronavirus
risk factors