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Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment

OBJECTIVE: The present study tested the combination of an established and a validated food-choice research method (the ‘fake food buffet’) with a new food-matching technology to automate the data collection and analysis. DESIGN: The methodology combines fake-food image recognition using deep learnin...

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Detalhes bibliográficos
Publicado no:Public Health Nutr
Main Authors: Mezgec, Simon, Eftimov, Tome, Bucher, Tamara, Koroušić Seljak, Barbara
Formato: Artigo
Idioma:Inglês
Publicado em: Cambridge University Press 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6536832/
https://ncbi.nlm.nih.gov/pubmed/29623869
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S1368980018000708
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