Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment
Abstract Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were
overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric …
overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric …
DeepFood: food image analysis and dietary assessment via deep model
L Jiang, B Qiu, X Liu, C Huang, K Lin - IEEE Access, 2020 - ieeexplore.ieee.org
Food is essential for human life and has been the concern of many healthcare conventions.
Nowadays new dietary assessment and nutrition analysis tools enable more opportunities to …
Nowadays new dietary assessment and nutrition analysis tools enable more opportunities to …
NutriNet: a deep learning food and drink image recognition system for dietary assessment
S Mezgec, B Koroušić Seljak - Nutrients, 2017 - mdpi.com
Automatic food image recognition systems are alleviating the process of food-intake
estimation and dietary assessment. However, due to the nature of food images, their …
estimation and dietary assessment. However, due to the nature of food images, their …
A framework to estimate the nutritional value of food in real time using deep learning techniques
There has been a rapid increase in dietary ailments during the last few decades, caused by
unhealthy food routine. Mobile-based dietary assessment systems that can record real-time …
unhealthy food routine. Mobile-based dietary assessment systems that can record real-time …
A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment
Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
Food/non-food image classification and food categorization using pre-trained googlenet model
A Singla, L Yuan, T Ebrahimi - … of the 2nd international workshop on …, 2016 - dl.acm.org
Recent past has seen a lot of developments in the field of image-based dietary assessment.
Food image classification and recognition are crucial steps for dietary assessment. In the …
Food image classification and recognition are crucial steps for dietary assessment. In the …
Image-based nutrient estimation for Chinese dishes using deep learning
Food image recognition systems facilitate dietary assessment and in turn track users' dietary
behaviors. However, due to the diversity of Chinese food, a quick and accurate food image …
behaviors. However, due to the diversity of Chinese food, a quick and accurate food image …
Visual aware hierarchy based food recognition
Food recognition is one of the most important components in image-based dietary
assessment. However, due to the different complexity level of food images and inter-class …
assessment. However, due to the different complexity level of food images and inter-class …
A new deep learning-based food recognition system for dietary assessment on an edge computing service infrastructure
Literature has indicated that accurate dietary assessment is very important for assessing the
effectiveness of weight loss interventions. However, most of the existing dietary assessment …
effectiveness of weight loss interventions. However, most of the existing dietary assessment …
Image-based food classification and volume estimation for dietary assessment: A review
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
in nutritional epidemiology studies to capture detailed information of the food eaten by the …