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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Detalles Bibliográficos
Autores principales: Mezgec, Simon, Eftimov, Tome, Bucher, Tamara, Koroušić Seljak, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536832/
https://www.ncbi.nlm.nih.gov/pubmed/29623869
http://dx.doi.org/10.1017/S1368980018000708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536832/
https://www.ncbi.nlm.nih.gov/pubmed/29623869
http://dx.doi.org/10.1017/S1368980018000708

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