Hybrid Deep Learning Algorithm-Based Food Recognition and Calorie Estimation

Article Chemistry, Applied

Application of deep learning for image-based Chinese market food nutrients estimation

Peihua Ma et al.

Summary: This study utilized deep learning techniques to establish a nutrition estimation database with high accuracy and practical value. The establishment and optimization of the first food image database in the Chinese market, ChinaMartFood-109, provides important support and inspiration for research in the field of food analysis.

FOOD CHEMISTRY (2022)

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Article Engineering, Multidisciplinary

FVEstimator: A novel food volume estimator Wellness model for calorie measurement and healthy living

Prachi Kadam et al.

Summary: This study proposes a computer vision-based method for estimating the volume of food. By accurately segmenting and classifying food images, it achieves precise measurements of convex, irregular, and regular shaped food items, providing opportunities for further research on different types and shapes of food.

MEASUREMENT (2022)

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Article Computer Science, Hardware & Architecture

Recognition of food type and calorie estimation using neural network

R. Dinesh Kumar et al.

Summary: Awareness of health is increasing globally, but obesity remains a major health issue; dietary habits and food choices affect obesity; establishing a system to provide food suggestions for individuals is a solution to the obesity problem.

JOURNAL OF SUPERCOMPUTING (2021)

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Article Engineering, Multidisciplinary

X-Ray Image Recognition Based on Improved Mask R-CNN Algorithm

Jicun Zhang et al.

Summary: This study introduces a new improved Mask R-CNN algorithm, which can improve the accuracy and stability of threat object detection in X-ray machines, especially for small-sized, simple-shaped objects.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

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Article Biophysics

An efficient method of detection of COVID-19 using Mask R-CNN on chest X-Ray images

Soumyajit Podder et al.

Summary: Artificial intelligence techniques, specifically the Mask R-CNN method, have been used for accurate COVID-19 detection on chest X-ray images. With an accuracy of 96.98%, specificity of 97.36%, and precision of 96.60%, the Mask R-CNN method has shown to be efficient and robust in detecting COVID-19 from chest X-ray images.

AIMS BIOPHYSICS (2021)

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Proceedings Paper Computer Science, Theory & Methods

FoodieCal: A Convolutional Neural Network Based Food Detection and Calorie Estimation System

Shahriar Ahmed Ayon et al.

Summary: Recent studies indicate that a healthy diet is essential for a healthy body, and people are increasingly concerned about their diets. Researchers developed a neural network-based model to predict food items with an accuracy of 89.48%.

2021 IEEE NATIONAL COMPUTING COLLEGES CONFERENCE (NCCC 2021) (2021)

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Article Computer Science, Information Systems