Computational approach to body mass index estimation from dressed people in 3D space-Reference-Cited by-同舟云学术

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Computational approach to body mass index estimation from dressed people in 3D space

Published:2020-04-16 Issue:7 Volume:14 Page:1248-1256
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Jiang Min¹²,Shang Yuanyuan¹³,Guo Guodong¹²³

Affiliation:

1. Beijing Advanced Innovation Center for Imaging TechnologyBeijing100048People's Republic of China

2. Lane Department of Computer Science and Electrical EngineeringWest Virginia UniversityMorgantownWV26506USA

3. College of Information Engineering, Capital Normal UniversityBeijing100048People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1170

Reference37 articles.

1. How Useful Is Body Mass Index for Comparison of Body Fatness across Age, Sex, and Ethnic Groups?

2. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies

3. Body weight: estimation of risk for breast and endometrial cancers;Ballard‐Barbash R.;Am. J. Clin. Nutr.,1996

4. Multiscale rotation‐invariant convolutional neural networks for lung texture classification;Wang Q.;IEEE J. Biomed. Health Inf.,2017

5. Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans

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3. Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients;International Journal of Computer Assisted Radiology and Surgery;2021-08-21

4. Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients;INT J COMPUT ASS RAD;2021

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