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

Development of Novel Medical Devices and Innovations for Existing Devices (80) Design and Formative Evaluation of Mobile Apps (694) Health Services in Resource-Poor Settings and LMICs (414) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) mHealth in a Clinical Setting (615) mHealth for Data Collection and Research (955)

Published on in Vol 7, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40066, first published .
Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Authors of this article:

Eva Leidman1 Author Orcid Image ;   Muhammad Ali Jatoi2 Author Orcid Image ;   Iris Bollemeijer3 Author Orcid Image ;   Jennifer Majer3 Author Orcid Image ;   Shannon Doocy1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.