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

Rodrigo M Carrillo-LarcoManuel 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