Study Title
Deep Neural Network for Food Image Classification and Nutrient Identification: A Systematic Review
Principal Investigator
Rajdeep Kaur, Rakesh Kumar, Meenu Gupta
Affiliation
Department of Computer Science & Engineering, Chandigarh University, Punjab, India
Start Date
Not specified
End Date
Not specified
Study Objective
To evaluate and synthesize research on deep learning (DL) and convolutional neural network (CNN) based techniques for food image classification (FIC) and nutrient identification.
Short Abstract
This systematic review investigates the use of deep neural networks (DNN) for food image classification and nutrient identification. A total of 56 studies were considered after screening 771 articles from major databases. It highlights the challenges in image recognition, dataset availability, and model performance metrics, proposing solutions using transfer learning (TL) and pre-trained models for improving nutrient estimation through image analysis.
Study Design
Systematic review following PRISMA guidelines
Population
Global studies on food image classification and nutrient estimation
Sample Size
771 articles screened, 56 studies included
Inclusion Criteria
Studies using machine learning and deep learning methods for food image classification and nutrient estimation
Exclusion Criteria
Studies not focusing on food image analysis or machine learning-based nutrient identification
Intervention/Exposure
Food image analysis using CNN, DL, and transfer learning (TL)
Outcome Measures
Accuracy of food image classification, nutrient estimation, and model performance metrics
Funding Source
Not specified
Collaborating Institutions
Chandigarh University, Punjab, India
Ethics Approval
Not specified
Publication Status
Published in Rev Endocr Metab Disord (2023).
Keywords
Deep learning, CNN, food image classification, nutrient estimation, transfer learning
Data Collection Methods
Systematic review and article extraction based on performance metrics, hyperparameter tuning, and food image datasets
Primary Data Availability
Not applicable
Contact Information
Meenu Gupta: