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Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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Empowering Diabetics: Advancements in Smartphone-Based Food Classification, Volume Measurement, and Nutritional

Afnan Ahmed Crystal1, Maria Valero2, Valentina Nino3

  • 1Department of Computer Science, Kennesaw State University, Kennesaw, GA 30060, USA.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed

Keywords:
convolutional neural networksdiabetesfood image recognitionglucose monitoringmobile vision

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