Thermal imaging method to evaluate childhood obesity based on machine learning techniques-Reference-Cited by-同舟云学术

Thermal imaging method to evaluate childhood obesity based on machine learning techniques

Published:2021-03-20 Issue:3 Volume:31 Page:1752-1768
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Rashmi Richa¹,Umapathy Snekhalatha¹^ORCID,Krishnan Palani Thanaraj²

Affiliation:

1. Department of Biomedical Engineering, Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur India

2. Department of Electronics and Instrumentation Engineering St. Joseph's College of Engineering, Anna University Chennai India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22572

Reference41 articles.

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2. Pediatric Obesity—Assessment, Treatment, and Prevention: An Endocrine Society Clinical Practice Guideline

3. The usefulness of “corrected” body mass index vs. self-reported body mass index: comparing the population distributions, sensitivity, specificity, and predictive utility of three correction equations using Canadian population-based data

4. Limitations of Fat-Free Mass for the Assessment of Muscle Mass in Obesity

5. Ultrasound as a tool to assess body fat;Dale W;J Obes,2013

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