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Mapathons versus automated feature extraction: a comparative analysis for strengthening immunization microplanning.

Amalia MendesTess PalmerAndrew BerensJulie EspeyRhiannan PriceApoorva MallyaSidney BrownMaureen MartinezNoha FaragBrian Kaplan
Published in: International journal of health geographics (2021)
Our findings indicate AFE outputs had higher agreement (i.e., befriended), slightly higher likelihood of correctly identifying a structure, and were more similar to the local microplan line-lists than the mapathon outputs. These findings suggest AFE may be more accurate for identifying structures in high-resolution satellite imagery than mapathons. However, they both had their advantages and the ideal method would utilize both methods in tandem.
Keyphrases
  • high resolution
  • machine learning
  • deep learning
  • mass spectrometry
  • tandem mass spectrometry
  • single cell
  • liquid chromatography