[PDF][PDF] Food Classification Using Deep Learning: Presenting a New Food Segmentation Dataset.

M Farooqui, A Rahman, R Alorefan… - Mathematical …, 2023 - researchgate.net
Accepted: 1 February 2023 Calorie estimation is of significant importance in promoting a
healthy lifestyle, as it enables individuals to effectively manage their weight. Applications …

A hybrid network based on GAN and CNN for food segmentation and calorie estimation

R Jaswanthi, E Amruthatulasi… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Calories play an essential role in health aspects that lead to diseases like coronary heart
disease, liver disease, cancer, and cholesterol. A study from 2020 reported that globally …

A deep learning segmentation approach to calories and weight estimation of food images

R Isaksen, EB Knudsen, AI Walde - 2019 - uia.brage.unit.no
Today's generation is very aware of what they are eating and the amountof calories in their
food. Eating too many calories can lead to increasedweight, which has become a big health …

Deep neural networks for image-based dietary assessment

S Mezgec, BK Seljak - JoVE (Journal of Visualized Experiments), 2021 - jove.com
Due to the issues and costs associated with manual dietary assessment approaches,
automated solutions are required to ease and speed up the work and increase its quality …

Myfood: A food segmentation and classification system to aid nutritional monitoring

CNC Freitas, FR Cordeiro… - 2020 33rd SIBGRAPI …, 2020 - ieeexplore.ieee.org
The absence of food monitoring has contributed significantly to the increase in the
population's weight. Due to the lack of time and busy routines, most people do not control …

A Real-time Food Image Recognition System to Predict the Calories by Using Intelligent Deep Learning Strategy

G Ramkumar, CB Venkatramanan… - 2023 International …, 2023 - ieeexplore.ieee.org
Modern lifestyle emphasizes the significance of maintaining a daily healthy diet and
ensuring a balanced intake of essential nutrients. The estimation of nutrient content within …

A comparative study of deep learning methods for food classification with images

G Suddul, JFL Seguin - Food and Humanity, 2023 - Elsevier
The monitoring of food intake plays a key role in avoiding different health problems such as
diseases, but also difficulties linked with mental and physical wellbeing. Food monitoring …

Food image segmentation for dietary assessment

J Dehais, M Anthimopoulos… - Proceedings of the 2nd …, 2016 - dl.acm.org
The prevalence of diet-related chronic diseases strongly impacts global health and health
services. Currently, it takes training and strong personal involvement to manage or treat …

Deep learning for food image recognition and nutrition analysis towards chronic diseases monitoring: A systematic review

M Mansouri, S Benabdellah Chaouni… - SN Computer …, 2023 - Springer
The management of daily food intake aids to preserve a healthy body, minimize the risk of
many diseases, and monitor chronic diseases, such as diabetes and heart problems. To …

Computer vision model for food identification in meals from the segmentation obtained by a set of fully convolutional networks

MA Carvalho, TC Pimenta, ACP Silvério… - Journal of Ambient …, 2023 - Springer
The strategy of counting the carbohydrates in consumed foods is recommended by scientific
societies as a way to improve the quality of life of life of diabetes patients. Monitoring food …