Feasibility Study of an Automated Carbohydrate Estimation System Using Thai Food Images in Comparison With Estimation by Dietitians

Feasibility Study of an Automated Carbohydrate Estimation System Using Thai Food Images in Comparison With Estimation by Dietitians

Carbohydrate counting is essential for well-controlled blood glucose in people with type 1 diabetes, but to perform it precisely is challenging, especially for Thai foods. Consequently, we developed a deep learning-based system for automatic carbohydrate counting using Thai food images taken from sm...

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Bibliographic Details
Main Authors: Phawinpon Chotwanvirat, Narit Hnoohom, Nipa Rojroongwasinkul, Wantanee Kriengsinyos
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Nutrition
Subjects:
carbohydrate counting
computer vision
deep learning
Thai food
eHealth
nutrition
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2021.732449/full

Internet

https://www.frontiersin.org/articles/10.3389/fnut.2021.732449/full

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