This paper is in the following e-collection/theme issue:

Artificial Intelligence (1216) Smoking Cessation (521) Public (e)Health, Digital Epidemiology and Public Health Informatics (646) Machine Learning (1401) Prevention and Health Promotion (899) Innovative Methods in Public Health and Surveillance (307) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24408, first published .
Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology

Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology

Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology

Authors of this article:

Ned English1 Author Orcid Image ;   Andrew Anesetti-Rothermel2 Author Orcid Image ;   Chang Zhao1 Author Orcid Image ;   Andrew Latterner1 Author Orcid Image ;   Adam F Benson3 Author Orcid Image ;   Peter Herman1 Author Orcid Image ;   Sherry Emery1 Author Orcid Image ;   Jordan Schneider3 Author Orcid Image ;   Shyanika W Rose4 Author Orcid Image ;   Minal Patel3 Author Orcid Image ;   Barbara A Schillo3 Author Orcid Image
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