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

Tools, Programs and Algorithms (275)

Published on in Vol 4, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18507, first published .
Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study

Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study

Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study

Authors of this article:

Kyoko Sudo1 Author Orcid Image ;   Kazuhiko Murasaki2 Author Orcid Image ;   Tetsuya Kinebuchi2 Author Orcid Image ;   Shigeko Kimura3 Author Orcid Image ;   Kayo Waki4 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

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  1. Elbassuoni S, Ghattas H, Ati J, Shmayssani Z, Katerji S, Zoughbi Y, Semaan A, Akl C, Gharbia H, Sassi S. DeepNOVA: A Deep Learning NOVA Classifier for Food Images. IEEE Access 2022;10:128523 View
  2. Van Wymelbeke-Delannoy V, Juhel C, Bole H, Sow A, Guyot C, Belbaghdadi F, Brousse O, Paindavoine M. A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project. Nutrients 2022;14(1):221 View
  3. Zheng J, Wang J, Shen J, An R. Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review. Journal of Medical Internet Research 2024;26:e54557 View

Books/Policy Documents

  1. Hartz L, Waki K. Diabetes Digital Health and Telehealth. View
  2. Zhou X. Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications–Volume 1. View