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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cambridge University Press
2018
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| Materias: | |
| 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 |