Cargando…
Multispectral Food Classification and Caloric Estimation Using Convolutional Neural Networks
Continuous monitoring and recording of the type and caloric content of ingested foods with a minimum of user intervention is very useful in preventing metabolic diseases and obesity. In this paper, automatic recognition of food type and caloric content was achieved via the use of multi-spectral imag...
Autor principal: | Lee, Ki-Seung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487165/ https://www.ncbi.nlm.nih.gov/pubmed/37685145 http://dx.doi.org/10.3390/foods12173212 |
Ejemplares similares
-
Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network
por: Haj-Hassan, Hawraa, et al.
Publicado: (2017) -
Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks
por: Giannopoulos, Michalis, et al.
Publicado: (2020) -
Classification and Segmentation of Longitudinal Road Marking Using Convolutional Neural Networks for Dynamic Retroreflection Estimation
por: Chun, Chanjun, et al.
Publicado: (2020) -
Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
por: Aamir, Muhammad, et al.
Publicado: (2021) -
Determination of Wheat Heading Stage Using Convolutional Neural Networks on Multispectral UAV Imaging Data
por: Li, Yibai, et al.
Publicado: (2022)